12.07.2015 Views

graduating-to-a-pay-gap-the-earnings-of-women-and-men-one-year-after-college-graduation.pdf?_ga=1.140843954.1054147744

graduating-to-a-pay-gap-the-earnings-of-women-and-men-one-year-after-college-graduation.pdf?_ga=1.140843954.1054147744

graduating-to-a-pay-gap-the-earnings-of-women-and-men-one-year-after-college-graduation.pdf?_ga=1.140843954.1054147744

SHOW MORE
SHOW LESS
  • No tags were found...

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

Graduating <strong>to</strong> a Pay GapThe Earnings <strong>of</strong> Wo<strong>men</strong> <strong>and</strong> MenOne Year <strong>after</strong> College GraduationEmpowering <strong>wo<strong>men</strong></strong> since 1881


Graduating <strong>to</strong> a Pay GapThe Earnings <strong>of</strong> Wo<strong>men</strong> <strong>and</strong> MenOne Year <strong>after</strong> College GraduationChristianne Corbett, M.A.Ca<strong>the</strong>rine Hill, Ph.D.


Published by AAUW1111 Sixteenth St. NWWashing<strong>to</strong>n, DC 20036www.aauw.orgconnect@aauw.org202.785.7700Copyright 2012 AAUWAll rights reservedPrinted in <strong>the</strong> United States <strong>of</strong> AmericaFirst printing: Oc<strong>to</strong>ber 2012Library <strong>of</strong> Congress Control Number: 2012951114ISBN: 978-1-879922-43-3021-13 5M 10/12


This report was made possible byThe Mo<strong>one</strong>en Lecce Giving CircleThis giving circle honors <strong>the</strong> legacy <strong>of</strong> Mo<strong>one</strong>en Lecce, whose passion for <strong>the</strong>mission <strong>of</strong> AAUW continues <strong>to</strong> inspire volunteerism <strong>and</strong> charitable givingdedicated <strong>to</strong> improving <strong>the</strong> lives <strong>of</strong> <strong>wo<strong>men</strong></strong> <strong>and</strong> girls.<strong>and</strong>The Eleanor Roosevelt FundThe generous donors <strong>to</strong> this fund support all <strong>of</strong> AAUW’s research initiatives.


ContentsForewordAcknowledg<strong>men</strong>tsAbout <strong>the</strong> AuthorsExecutive SummaryChapter 1. Why <strong>the</strong> Pay Gap MattersChapter 2. The Pay Gap, One Year <strong>after</strong> College GraduationChapter 3. High Student Loan Debt BurdenChapter 4. Narrowing <strong>the</strong> Pay GapAppendix. Methodology <strong>and</strong> Regression AnalysisBibliographyFiguresFigure 1: Average Annual Earnings One Year <strong>after</strong> College Graduation, by GenderFigure 2: Average Annual Earnings One Year <strong>after</strong> College Graduation,by Gender <strong>and</strong> Institution Sec<strong>to</strong>rFigure 3: Gender Composition <strong>of</strong> College MajorsFigure 4: College Major Choice, by GenderFigure 5: Average Annual Earnings One Year <strong>after</strong> College Graduation,by Undergraduate Major <strong>and</strong> GenderFigure 6: Employ<strong>men</strong>t Status One Year <strong>after</strong> College Graduation, by GenderFigure 7: Occupation One Year <strong>after</strong> College Graduation, by GenderFigure 8: Average Annual Earnings One Year <strong>after</strong> College Graduation,by Occupation <strong>and</strong> GenderFigure 9: Average Annual Earnings One Year <strong>after</strong> College Graduation,by Hours Worked <strong>and</strong> GenderFigure 10: The Pay Gap One Year <strong>after</strong> College Graduation, with <strong>and</strong>without Explana<strong>to</strong>ry VariablesFigure 11: Student Loan Debt Burden One Year <strong>after</strong> College Graduation,by Year <strong>and</strong> GenderFigure 12: Share <strong>of</strong> Wo<strong>men</strong> <strong>and</strong> Men with High Student LoanDebt Burden One Year <strong>after</strong> College Graduation, by YearFigure 13: Significant Coefficients from Regression <strong>of</strong> Log <strong>of</strong> AnnualEarnings One Year <strong>after</strong> College Graduationviiixix159232735419111213141516171920242637


ForewordWo<strong>men</strong> are paid significantly less than <strong>men</strong> are in nearly every occupation. Because <strong>pay</strong> equity affects<strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>the</strong>ir families in all walks <strong>of</strong> life, it is not surprising that many <strong>wo<strong>men</strong></strong> consider <strong>the</strong> issueimportant. Many business leaders also believe that <strong>pay</strong> equity is “good business,” because it improvesmorale <strong>and</strong> productivity. Yet progress in closing <strong>the</strong> <strong>gap</strong> between <strong>men</strong>’s <strong>and</strong> <strong>wo<strong>men</strong></strong>’s <strong>pay</strong> has been slow<strong>and</strong>, in recent <strong>year</strong>s, has stagnated.For more than 130 <strong>year</strong>s, <strong>the</strong> American Association <strong>of</strong> University Wo<strong>men</strong> (AAUW) has advocatedfor gender equity in education <strong>and</strong> <strong>the</strong> workplace. During this time, <strong>wo<strong>men</strong></strong> have g<strong>one</strong> from a smallminority on <strong>college</strong> campuses <strong>to</strong> a majority <strong>of</strong> <strong>the</strong> student body. Today, <strong>wo<strong>men</strong></strong> make up half <strong>the</strong> workforce,but <strong>the</strong>y continue <strong>to</strong> earn less than <strong>men</strong> do throughout <strong>the</strong>ir careers.Why does this gender <strong>pay</strong> <strong>gap</strong> persist? This question is a focal point <strong>of</strong> AAUW’s research <strong>and</strong> advocacywork. Graduating <strong>to</strong> a Pay Gap finds that <strong>wo<strong>men</strong></strong> working full time already earn less than <strong>the</strong>irmale counterparts do just <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong> <strong>graduation</strong>. Taking a closer look at <strong>the</strong> data, we findthat <strong>wo<strong>men</strong></strong>’s choices—<strong>college</strong> major, occupation, hours at work—do account for part <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong>.But about <strong>one</strong>-third <strong>of</strong> <strong>the</strong> <strong>gap</strong> remains unexplained, suggesting that bias <strong>and</strong> discrimination are stillproblems in <strong>the</strong> workplace.At AAUW, research informs action. As an organization <strong>of</strong> <strong>college</strong>-educated <strong>wo<strong>men</strong></strong>, we believe that<strong>the</strong> <strong>pay</strong> <strong>gap</strong> among <strong>college</strong>-educated workers <strong>and</strong> its ramifications—starting with higher student lo<strong>and</strong>ebt burden immediately <strong>after</strong> <strong>college</strong> <strong>graduation</strong>—are <strong>of</strong> great importance. AAUW is proud <strong>to</strong> shareresearch that you can trust. We hope this report will inspire you <strong>to</strong> join us in taking action <strong>to</strong> eliminate<strong>the</strong> <strong>pay</strong> <strong>gap</strong>.Carolyn H. GarfeinAAUW PresidentLinda D. Hallman, CAEAAUW Executive Direc<strong>to</strong>rAAUWvii


Acknowledg<strong>men</strong>tsAAUW thanks Robin Henke <strong>and</strong> Jennie Woo <strong>of</strong> MPR Associates for <strong>the</strong>ir work on <strong>the</strong> technicalreport that provided <strong>the</strong> basis for <strong>the</strong> data analysis used in Graduating <strong>to</strong> a Pay Gap. We thank MattReed from <strong>the</strong> Project on Student Debt for his thoughtful com<strong>men</strong>ts on <strong>the</strong> student debt portion<strong>of</strong> <strong>the</strong> report. AAUW also recognizes its staff <strong>and</strong> member leaders for <strong>the</strong>ir contributions. Specialappreciation goes <strong>to</strong> Jill Birdwhistell, chief operating <strong>of</strong>ficer, for her role in shaping this work; JulieSmolinski, former research intern, for her work on <strong>the</strong> report’s figures; Rebecca Lanning, direc<strong>to</strong>r <strong>of</strong>art, edi<strong>to</strong>rial, <strong>and</strong> media, for managing <strong>the</strong> edi<strong>to</strong>rial process; Beth Pearsall, freelance edi<strong>to</strong>r, for editing<strong>the</strong> report; <strong>and</strong> Allison VanKanegan, graphic designer, for designing <strong>and</strong> composing <strong>the</strong> report.Finally, AAUW thanks <strong>the</strong> members <strong>of</strong> its distinguished research advisory board for <strong>the</strong>ir thoughtfulcom<strong>men</strong>ts <strong>and</strong> guidance: Lauren Asher, Donna Bobbitt-Zeher, Kelvie Comer, Patricia Roos,Kimberlee Shauman, <strong>and</strong> Peggy Williams.About <strong>the</strong> AuthorsChristianne Corbett is a senior researcher at AAUW, where she writes aboutgender equity in education <strong>and</strong> <strong>the</strong> workplace. She is a co-author <strong>of</strong> AAUW’s WhySo Few? Wo<strong>men</strong> in Science, Technology, Engineering, <strong>and</strong> Ma<strong>the</strong>matics (2010) <strong>and</strong> Where<strong>the</strong> Girls Are: The Facts about Gender Equity in Education (2008). Before coming <strong>to</strong>AAUW, she worked as a legislative fellow on Capi<strong>to</strong>l Hill <strong>and</strong> as a mechanicaldesign engineer in <strong>the</strong> aerospace industry. Corbett holds a master’s degree incultural anthropology from <strong>the</strong> University <strong>of</strong> Colorado, Boulder, <strong>and</strong> bachelor’sdegrees in aerospace engineering <strong>and</strong> govern<strong>men</strong>t from <strong>the</strong> University <strong>of</strong> NotreDame.Ca<strong>the</strong>rine Hill is AAUW’s direc<strong>to</strong>r <strong>of</strong> research <strong>and</strong> <strong>the</strong> co-author <strong>of</strong> manyAAUW reports, including Crossing <strong>the</strong> Line: Sexual Harass<strong>men</strong>t at School (2011), WhySo Few? Wo<strong>men</strong> in Science, Technology, Engineering, <strong>and</strong> Ma<strong>the</strong>matics (2010), <strong>and</strong> Behind<strong>the</strong> Pay Gap (2007). Previously, she was a researcher at <strong>the</strong> Institute for Wo<strong>men</strong>’sPolicy Research <strong>and</strong> an assistant pr<strong>of</strong>essor at <strong>the</strong> University <strong>of</strong> Virginia. Hillearned bachelor’s <strong>and</strong> master’s degrees from Cornell University <strong>and</strong> a doc<strong>to</strong>rate inpublic policy from Rutgers University.AAUWix


Executive SummaryNearly 50 <strong>year</strong>s <strong>after</strong> <strong>the</strong> passage <strong>of</strong> <strong>the</strong> EqualPay Act <strong>of</strong> 1963, <strong>wo<strong>men</strong></strong> continue <strong>to</strong> earnless than <strong>men</strong> do in nearly every occupation.Because <strong>pay</strong> is a funda<strong>men</strong>tal part <strong>of</strong> everydaylife, enabling individuals <strong>to</strong> support <strong>the</strong>mselves<strong>and</strong> <strong>the</strong>ir families, <strong>the</strong> <strong>pay</strong> <strong>gap</strong> evokes passionatedebate. Although <strong>the</strong> data confirming <strong>the</strong>persistence <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong> are incontrovertible,<strong>the</strong> reasons behind <strong>the</strong> <strong>gap</strong> remain <strong>the</strong> subject <strong>of</strong>controversy. Do <strong>wo<strong>men</strong></strong> earn less because <strong>the</strong>ymake different choices than <strong>men</strong> do? Does discriminationplay a role? What o<strong>the</strong>r issues mightbe involved?Graduating <strong>to</strong> a Pay Gap explores <strong>the</strong> <strong>pay</strong> <strong>gap</strong>between male <strong>and</strong> female <strong>college</strong> graduatesworking full time <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>graduation</strong>.You might expect <strong>the</strong> <strong>pay</strong> <strong>gap</strong> between <strong>men</strong> <strong>and</strong><strong>wo<strong>men</strong></strong> in this group <strong>of</strong> workers <strong>of</strong> similar age,education, <strong>and</strong> family responsibilities <strong>to</strong> be smallor n<strong>one</strong>xistent. But in 2009—<strong>the</strong> most recent<strong>year</strong> for which data are available—<strong>wo<strong>men</strong></strong> <strong>one</strong><strong>year</strong> out <strong>of</strong> <strong>college</strong> who were working full timeearned, on average, just 82 percent <strong>of</strong> what <strong>the</strong>irmale peers earned. After we control for hours,occupation, <strong>college</strong> major, employ<strong>men</strong>t sec<strong>to</strong>r,<strong>and</strong> o<strong>the</strong>r fac<strong>to</strong>rs associated with <strong>pay</strong>, <strong>the</strong> <strong>pay</strong><strong>gap</strong> shrinks but does not disappear. About <strong>one</strong>third<strong>of</strong> <strong>the</strong> <strong>gap</strong> cannot be explained by any <strong>of</strong><strong>the</strong> fac<strong>to</strong>rs commonly unders<strong>to</strong>od <strong>to</strong> affect <strong>earnings</strong>,indicating that o<strong>the</strong>r fac<strong>to</strong>rs that are moredifficult <strong>to</strong> identify—<strong>and</strong> likely more difficult <strong>to</strong>measure—contribute <strong>to</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong>.Why do <strong>wo<strong>men</strong></strong> graduate <strong>to</strong> a <strong>pay</strong> <strong>gap</strong>?Education <strong>and</strong> occupational differences between<strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> help explain <strong>the</strong> <strong>pay</strong> <strong>gap</strong>.Explaining or accounting for a portion <strong>of</strong> <strong>the</strong><strong>pay</strong> <strong>gap</strong> simply means that we underst<strong>and</strong> <strong>the</strong>effect <strong>of</strong> certain fac<strong>to</strong>rs, not that <strong>the</strong> genderdifferences related <strong>to</strong> those fac<strong>to</strong>rs are necessarilyfair or problem-free. Both discrimination<strong>and</strong> cultural gender norms can play a role in <strong>the</strong>“explained” portion <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong>. With that inmind, we find that <strong>college</strong> major is an importantfac<strong>to</strong>r driving <strong>pay</strong> differences. Men are morelikely than <strong>wo<strong>men</strong></strong> <strong>to</strong> major in fields like engineering<strong>and</strong> computer science, which typicallylead <strong>to</strong> higher-<strong>pay</strong>ing jobs. Wo<strong>men</strong> are morelikely than <strong>men</strong> <strong>to</strong> major in fields like education<strong>and</strong> <strong>the</strong> social sciences, which typically lead <strong>to</strong>AAUW1


lower-<strong>pay</strong>ing jobs. But <strong>college</strong> major is not <strong>the</strong>full s<strong>to</strong>ry. One <strong>year</strong> <strong>after</strong> <strong>graduation</strong>, a <strong>pay</strong> <strong>gap</strong>exists between <strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong> who majoredin <strong>the</strong> same field. Among business majors, forexample, <strong>wo<strong>men</strong></strong> earned just over $38,000, while<strong>men</strong> earned just over $45,000. Gender differencesin <strong>college</strong> major only partially explain <strong>the</strong><strong>pay</strong> <strong>gap</strong>.Occupational fac<strong>to</strong>rs also drive differences in<strong>pay</strong>. Although <strong>the</strong> choice <strong>of</strong> major is related <strong>to</strong>occupation, <strong>the</strong> relationship is not strict. Forexample, male engineering majors are morelikely than <strong>the</strong>ir female counterparts <strong>to</strong> workas engineers <strong>after</strong> <strong>graduation</strong>. Wo<strong>men</strong> are morelikely than <strong>men</strong> <strong>to</strong> work in business support <strong>and</strong>administrative assistance occupations <strong>and</strong> asteachers, social services pr<strong>of</strong>essionals, <strong>and</strong> nurses<strong>and</strong> o<strong>the</strong>r health care providers <strong>one</strong> <strong>year</strong> <strong>after</strong><strong>college</strong> <strong>graduation</strong>. Men are more likely than<strong>wo<strong>men</strong></strong> <strong>to</strong> work in business <strong>and</strong> manage<strong>men</strong><strong>to</strong>ccupations, computer <strong>and</strong> physical scienceoccupations, <strong>and</strong> as engineers. The jobs thatprimarily employ <strong>men</strong> tend <strong>to</strong> <strong>pay</strong> more than <strong>the</strong>jobs that primarily employ <strong>wo<strong>men</strong></strong>.Differences in <strong>the</strong> number <strong>of</strong> hours worked alsoaffect <strong>earnings</strong> <strong>and</strong> contribute <strong>to</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong>.One <strong>year</strong> out <strong>of</strong> <strong>college</strong>, <strong>wo<strong>men</strong></strong> in full-time jobsreported working 43 hours per week on average,<strong>and</strong> <strong>men</strong> in full-time jobs reported working anaverage <strong>of</strong> 45 hours per week. Economic sec<strong>to</strong>ris ano<strong>the</strong>r part <strong>of</strong> <strong>the</strong> equation. Men were morelikely than <strong>wo<strong>men</strong></strong> <strong>to</strong> work in higher-<strong>pay</strong>ing sec<strong>to</strong>rs<strong>of</strong> <strong>the</strong> economy.Yet, when we control for each <strong>of</strong> <strong>the</strong>se fac<strong>to</strong>rs,<strong>wo<strong>men</strong></strong> still tended <strong>to</strong> earn less than <strong>the</strong>ir malepeers did. Within a number <strong>of</strong> occupations,<strong>wo<strong>men</strong></strong> already earned less than <strong>men</strong> earned jus<strong>to</strong>ne <strong>year</strong> out <strong>of</strong> <strong>college</strong>. Among teachers, forexample, <strong>wo<strong>men</strong></strong> earned 89 percent <strong>of</strong> what <strong>men</strong>earned. In business <strong>and</strong> manage<strong>men</strong>t occupations,<strong>wo<strong>men</strong></strong> earned 86 percent <strong>of</strong> what <strong>men</strong>earned; similarly, in sales occupations, <strong>wo<strong>men</strong></strong>earned just 77 percent <strong>of</strong> what <strong>the</strong>ir male peersearned.When we compare <strong>the</strong> <strong>earnings</strong> <strong>of</strong> <strong>men</strong> <strong>and</strong><strong>wo<strong>men</strong></strong> who reported working <strong>the</strong> same number<strong>of</strong> hours, <strong>men</strong> earned more than <strong>wo<strong>men</strong></strong> did. Forexample, among those who reported working40 hours per week, <strong>wo<strong>men</strong></strong> earned 84 percent <strong>of</strong>what <strong>men</strong> earned. Among those who reportedworking 45 hours per week, <strong>wo<strong>men</strong></strong>’s <strong>earnings</strong>were 82 percent <strong>of</strong> <strong>men</strong>’s.Finally, when we control for economic sec<strong>to</strong>r,again <strong>men</strong> typically earned more than <strong>wo<strong>men</strong></strong>did. In <strong>the</strong> two largest economic sec<strong>to</strong>rs—<strong>the</strong>for-pr<strong>of</strong>it <strong>and</strong> govern<strong>men</strong>t sec<strong>to</strong>rs—<strong>men</strong> earnedsignificantly more than <strong>wo<strong>men</strong></strong> did <strong>one</strong> <strong>year</strong> <strong>after</strong><strong>college</strong> <strong>graduation</strong>. Occupation, hours worked,<strong>and</strong> economic sec<strong>to</strong>r help us underst<strong>and</strong> <strong>the</strong> <strong>pay</strong><strong>gap</strong>, but <strong>the</strong>se differences do not fully explain it.What accounts for <strong>the</strong> unexplained <strong>gap</strong>?Consider a hypo<strong>the</strong>tical pair <strong>of</strong> graduates—<strong>one</strong>man <strong>and</strong> <strong>one</strong> woman—from <strong>the</strong> same universitywho majored in <strong>the</strong> same field. One <strong>year</strong> later,both were working full time, <strong>the</strong> same number<strong>of</strong> hours each week, in <strong>the</strong> same occupation <strong>and</strong>sec<strong>to</strong>r. Our analysis shows that despite <strong>the</strong>sesimilarities, <strong>the</strong> woman would earn about 7 percentless than <strong>the</strong> man would earn. Why do<strong>wo<strong>men</strong></strong> still earn less than <strong>men</strong> do <strong>after</strong> we controlfor education <strong>and</strong> employ<strong>men</strong>t differences?Gender discrimination is <strong>one</strong> potential contribu<strong>to</strong>r<strong>to</strong> <strong>the</strong> unexplained <strong>pay</strong> <strong>gap</strong>. The increasingnumbers <strong>of</strong> claims filed with <strong>the</strong> Equal Employ<strong>men</strong>tOpportunity Commission <strong>and</strong> <strong>the</strong> millions2 Graduating <strong>to</strong> a Pay Gap


<strong>of</strong> dollars employers <strong>pay</strong> annually in awards,settle<strong>men</strong>ts, <strong>and</strong> o<strong>the</strong>r legal fees make clearthat gender discrimination remains a seriousproblem in American workplaces. Experi<strong>men</strong>talevidence confirms that many people continue<strong>to</strong> hold biases against <strong>wo<strong>men</strong></strong> in <strong>the</strong> workplace,especially those who work in traditionally malefields. Thus, <strong>the</strong>re are solid reasons <strong>to</strong> believethat gender discrimination is a problem in <strong>the</strong>workplace.Yet discrimination is impossible <strong>to</strong> measuredirectly, <strong>and</strong> many who discriminate—both <strong>men</strong><strong>and</strong> <strong>wo<strong>men</strong></strong>—may not be aware that <strong>the</strong>y aredoing so. For all <strong>of</strong> <strong>the</strong>se reasons, it is likely thatat least part <strong>of</strong> <strong>the</strong> unexplained <strong>gap</strong> results fromdiscrimination.Ano<strong>the</strong>r possible explanation for <strong>the</strong> unexplainedportion <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong> is a gender differencein willingness <strong>and</strong> ability <strong>to</strong> negotiatesalary. Negotiating a salary can make a differencein <strong>earnings</strong>, <strong>and</strong> <strong>men</strong> are more likely than<strong>wo<strong>men</strong></strong> <strong>to</strong> negotiate <strong>the</strong>ir salaries. In part, thisdifference may reflect <strong>wo<strong>men</strong></strong>’s awareness thatemployers are likely <strong>to</strong> view negotiations by <strong>men</strong>more favorably than negotiations by <strong>wo<strong>men</strong></strong>.N<strong>one</strong><strong>the</strong>less, negotiation may account for someportion <strong>of</strong> <strong>the</strong> unexplained <strong>gap</strong>.One immediate effect <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong> ishigh student loan debt burden.For many young <strong>wo<strong>men</strong></strong>, <strong>the</strong> challenge <strong>of</strong> <strong>pay</strong>ingback student loans is <strong>the</strong>ir first encounterwith <strong>the</strong> <strong>pay</strong> <strong>gap</strong>. “Student loan debt burden” isdefined as <strong>the</strong> percentage <strong>of</strong> <strong>earnings</strong> devoted<strong>to</strong> student loan <strong>pay</strong><strong>men</strong>ts. A high student lo<strong>and</strong>ebt burden is an indica<strong>to</strong>r that re<strong>pay</strong><strong>men</strong>t maycreate hardship. Individuals with high studentloan debt burden are less likely <strong>to</strong> own a home,have a car loan, or even make rent <strong>pay</strong><strong>men</strong>ts.High student loan debt burden is a challengefor a growing number <strong>of</strong> <strong>college</strong> graduates, <strong>men</strong><strong>and</strong> <strong>wo<strong>men</strong></strong> alike, but is particularly widespreadamong <strong>wo<strong>men</strong></strong>, in large part because <strong>of</strong> <strong>the</strong> <strong>pay</strong><strong>gap</strong>.Wo<strong>men</strong> <strong>and</strong> <strong>men</strong> <strong>pay</strong> <strong>the</strong> same amount for <strong>the</strong>ir<strong>college</strong> degrees, but <strong>the</strong>y <strong>of</strong>ten do not reap <strong>the</strong>same rewards. Among 2007–08 <strong>college</strong> graduates,<strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong> typically borrowed similaramounts <strong>to</strong> finance <strong>the</strong>ir educations, about$20,000. Because <strong>wo<strong>men</strong></strong> earn less than <strong>men</strong> do<strong>after</strong> <strong>college</strong>, student loan re<strong>pay</strong><strong>men</strong>ts make up alarger part <strong>of</strong> <strong>wo<strong>men</strong></strong>’s <strong>earnings</strong>. In 2009, amongfull-time workers re<strong>pay</strong>ing <strong>the</strong>ir loans <strong>one</strong> <strong>year</strong><strong>after</strong> <strong>college</strong> <strong>graduation</strong>, nearly half <strong>of</strong> <strong>wo<strong>men</strong></strong>(47 percent) were <strong>pay</strong>ing more than 8 percent <strong>of</strong><strong>the</strong>ir <strong>earnings</strong> <strong>to</strong>ward student loan debt comparedwith 39 percent <strong>of</strong> <strong>men</strong>. These numbershave risen in recent <strong>year</strong>s. In 2001, 38 percent <strong>of</strong><strong>wo<strong>men</strong></strong> <strong>and</strong> 31 percent <strong>of</strong> <strong>men</strong> in <strong>the</strong> same situationwere <strong>pay</strong>ing more than 8 percent <strong>of</strong> <strong>the</strong>ir<strong>earnings</strong> <strong>to</strong>ward student loan debt. Among thosewith very high student loan debt burden, weagain see a gender difference. In 2009, 20 percen<strong>to</strong>f <strong>wo<strong>men</strong></strong> <strong>and</strong> 15 percent <strong>of</strong> <strong>men</strong> workingfull time <strong>and</strong> re<strong>pay</strong>ing <strong>the</strong>ir loans <strong>one</strong> <strong>year</strong> <strong>after</strong><strong>graduation</strong> were <strong>pay</strong>ing more than 15 percent <strong>of</strong><strong>the</strong>ir <strong>earnings</strong> <strong>to</strong>ward student loan debt. Wo<strong>men</strong>are more likely than <strong>men</strong> <strong>to</strong> have high studentloan debt burden in large part because <strong>of</strong> <strong>the</strong> <strong>pay</strong><strong>gap</strong>.Recom<strong>men</strong>dationsWhat can be d<strong>one</strong> about <strong>the</strong> <strong>pay</strong> <strong>gap</strong>? To beginwith, we must publicly recognize it as a problem.Too <strong>of</strong>ten, both <strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong> dismiss <strong>the</strong> <strong>pay</strong><strong>gap</strong> as simply a matter <strong>of</strong> different choices. Buteven <strong>wo<strong>men</strong></strong> who make <strong>the</strong> same educational<strong>and</strong> occupational choices that <strong>men</strong> make do nottypically end up with <strong>the</strong> same <strong>earnings</strong>.AAUW3


Although <strong>wo<strong>men</strong></strong> cannot avoid <strong>the</strong> <strong>pay</strong> <strong>gap</strong> completely,<strong>the</strong>y can make choices that enhance <strong>the</strong>irearning potential. A critical first step is <strong>pay</strong>ingattention <strong>to</strong> <strong>the</strong> salaries associated with <strong>college</strong>majors <strong>and</strong> occupations <strong>and</strong> underst<strong>and</strong>ing <strong>the</strong>long-term financial implications <strong>of</strong> those decisions.Wo<strong>men</strong> can also seek out union jobs <strong>and</strong>negotiate salary <strong>of</strong>fers <strong>to</strong> improve <strong>the</strong>ir <strong>earnings</strong>.Taken <strong>to</strong>ge<strong>the</strong>r, <strong>the</strong>se individual choices can helpclose <strong>the</strong> <strong>pay</strong> <strong>gap</strong>.A problem as long-st<strong>and</strong>ing <strong>and</strong> widespread as<strong>the</strong> <strong>pay</strong> <strong>gap</strong>, however, cannot be solved by <strong>the</strong>actions <strong>of</strong> individual <strong>wo<strong>men</strong></strong> al<strong>one</strong>. Employers<strong>and</strong> <strong>the</strong> govern<strong>men</strong>t have important roles <strong>to</strong> play.Federal equal <strong>pay</strong> laws have laid <strong>the</strong> groundwork,but new legislation is needed <strong>to</strong> modernize <strong>and</strong>streng<strong>the</strong>n <strong>the</strong>se laws. Guided by better publicpolicies, employers can invest in fairer <strong>and</strong> moretransparent <strong>pay</strong> systems <strong>and</strong> be confident that<strong>the</strong>ir competi<strong>to</strong>rs are taking similar steps.The <strong>pay</strong> <strong>gap</strong> has been part <strong>of</strong> <strong>the</strong> workplace forso long that it has become simply normal. Yet<strong>the</strong> <strong>pay</strong> <strong>gap</strong> has serious ramifications for <strong>wo<strong>men</strong></strong><strong>and</strong> <strong>the</strong>ir families throughout <strong>the</strong>ir lifetimes.Graduating <strong>to</strong> a Pay Gap sheds light on <strong>the</strong> roots<strong>of</strong> <strong>the</strong> gender <strong>pay</strong> <strong>gap</strong> among recent <strong>college</strong>graduates <strong>and</strong> provides recom<strong>men</strong>dations forwhat we can do about it.4 Graduating <strong>to</strong> a Pay Gap


Chapter 1Why <strong>the</strong> Pay Gap MattersWo<strong>men</strong> earn considerably less m<strong>one</strong>y than<strong>men</strong> do. Although <strong>the</strong> <strong>earnings</strong> <strong>of</strong> <strong>men</strong> <strong>and</strong><strong>wo<strong>men</strong></strong> are more similar <strong>to</strong>day than <strong>the</strong>y werein 1963 when <strong>the</strong> Equal Pay Act was signed, asizeable gender <strong>pay</strong> <strong>gap</strong> remains, <strong>and</strong> in recent<strong>year</strong>s, progress in narrowing <strong>the</strong> <strong>gap</strong> has stalled(AAUW, 2012; DeNavas-Walt et al., 2012). Inthis report, we explore <strong>the</strong> reasons behind <strong>the</strong><strong>pay</strong> <strong>gap</strong> among a group <strong>of</strong> similarly situated <strong>men</strong><strong>and</strong> <strong>wo<strong>men</strong></strong> at <strong>the</strong> beginning <strong>of</strong> <strong>the</strong>ir careers.Using <strong>the</strong> latest nationally representative dataavailable, we examine <strong>the</strong> gender <strong>pay</strong> <strong>gap</strong> among<strong>college</strong>-educated, full-time workers just <strong>one</strong> <strong>year</strong><strong>after</strong> <strong>graduation</strong>.The <strong>pay</strong> <strong>gap</strong> has far-reaching consequences for<strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>the</strong>ir families. According <strong>to</strong> <strong>one</strong> estimate,<strong>college</strong>-educated <strong>wo<strong>men</strong></strong> working full timeearn more than a half million dollars less than<strong>the</strong>ir male peers do over <strong>the</strong> course <strong>of</strong> a lifetime(Carnevale, Rose, & Cheah, 2011). Having lessm<strong>one</strong>y means that <strong>wo<strong>men</strong></strong> have more limitedchoices. The <strong>pay</strong> <strong>gap</strong> influences <strong>the</strong> neighborhoodsin which <strong>wo<strong>men</strong></strong> live, <strong>the</strong> educationalopportunities <strong>the</strong>y <strong>of</strong>fer <strong>the</strong>ir children, <strong>and</strong> <strong>the</strong>food <strong>the</strong>y put on <strong>the</strong>ir tables. The <strong>pay</strong> <strong>gap</strong> canhave especially dire consequences for singlemo<strong>the</strong>rs, since <strong>the</strong>y are <strong>of</strong>ten <strong>the</strong> only breadwinnersfor <strong>the</strong>ir families.Because married couples tend <strong>to</strong> prioritize <strong>the</strong>career <strong>of</strong> <strong>the</strong> higher-earning spouse, <strong>the</strong> <strong>pay</strong> <strong>gap</strong>negatively affects married <strong>wo<strong>men</strong></strong>’s careers ino<strong>the</strong>r ways. Wo<strong>men</strong> are more likely than <strong>men</strong><strong>to</strong> relocate for <strong>the</strong>ir spouses’ jobs (McKinnish,2008), <strong>and</strong> <strong>the</strong>y are more likely <strong>to</strong> leave <strong>the</strong> workforceor reduce <strong>the</strong>ir work hours <strong>after</strong> becomingparents (AAUW Educational Foundation, 2007).With each <strong>of</strong> <strong>the</strong>se decisions, <strong>the</strong> <strong>gap</strong> between<strong>men</strong>’s <strong>and</strong> <strong>wo<strong>men</strong></strong>’s current <strong>and</strong> future <strong>earnings</strong>widens. In <strong>the</strong> long run, <strong>the</strong> <strong>pay</strong> <strong>gap</strong> contributes<strong>to</strong> a higher poverty rate among elderly <strong>wo<strong>men</strong></strong>,with 11 percent <strong>of</strong> elderly <strong>wo<strong>men</strong></strong> compared with6 percent <strong>of</strong> elderly <strong>men</strong> living in poverty in 2011(DeNavas-Walt et al., 2012). Overall, <strong>the</strong> <strong>pay</strong> <strong>gap</strong>makes achieving economic security more difficultfor <strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>the</strong>ir families.AAUW5


Do <strong>wo<strong>men</strong></strong>’s choices explain <strong>the</strong> <strong>pay</strong> <strong>gap</strong>?Few dispute <strong>the</strong> existence <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong>, butsome argue that it is simply <strong>the</strong> result <strong>of</strong> <strong>men</strong> <strong>and</strong><strong>wo<strong>men</strong></strong> making different choices. Many studieshave explored this question, including AAUW’sreport Behind <strong>the</strong> Pay Gap (AAUW EducationalFoundation, 2007). Behind <strong>the</strong> Pay Gap foundthat part <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong> is indeed explained bydifferences in <strong>the</strong> jobs <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> hold, <strong>the</strong>hours <strong>the</strong>y work, <strong>and</strong> <strong>the</strong>ir education <strong>and</strong> training,fac<strong>to</strong>rs that are influenced—although notsolely determined—by individual choices. Thereport also found that a portion <strong>of</strong> <strong>the</strong> gender<strong>pay</strong> <strong>gap</strong> is not explained by any <strong>of</strong> <strong>the</strong> fac<strong>to</strong>rsknown <strong>to</strong> affect <strong>earnings</strong>. Likewise, o<strong>the</strong>r studies<strong>of</strong> <strong>the</strong> <strong>pay</strong> differences between <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong>have been unable <strong>to</strong> fully explain <strong>the</strong> <strong>pay</strong> <strong>gap</strong>(Lo Sasso et al., 2011; Broyles, 2009; Black et al.,2008; Blau & Kahn, 2007, 2006; Bobbitt-Zeher,2007).For example, a recent analysis found that specialtyaccounted for much <strong>of</strong> <strong>the</strong> overall genderdifference in <strong>the</strong> salaries <strong>of</strong> physician researchers.Wo<strong>men</strong> were far less likely <strong>to</strong> work in higher<strong>pay</strong>ingspecialties than <strong>men</strong> were. But <strong>wo<strong>men</strong></strong>still earned an unexplained $13,399 less than<strong>the</strong>ir male colleagues did each <strong>year</strong>, even <strong>after</strong><strong>the</strong> authors considered <strong>and</strong> controlled for fac<strong>to</strong>rsthat had a significant effect on salary, includingspecialty, age, parental status, additional graduatedegrees, academic rank, institution type,grant funding, publications, work hours, <strong>and</strong>time spent in research (Jagsi et al., 2012). Similarly,a recent analysis <strong>of</strong> <strong>pay</strong> differences betweenmale <strong>and</strong> female full-time managers found thatfemale managers were younger <strong>and</strong> had lesseducation than male managers did. But even<strong>after</strong> researchers controlled for age, education,hours worked beyond full time, industry sec<strong>to</strong>r,marital status, <strong>and</strong> presence <strong>of</strong> children in <strong>the</strong>household, female managers still earned just81 percent <strong>of</strong> what male managers did, leavingan unexplained 19 percent <strong>pay</strong> <strong>gap</strong> (U.S. Govern<strong>men</strong>tAccountability Office, 2010).In discussions <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong> on television, innewspapers <strong>and</strong> magazines, <strong>and</strong> online, <strong>the</strong>re is<strong>of</strong>ten an underlying assumption that <strong>the</strong> onlytroubling part <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong> is <strong>the</strong> part that isunexplained. Yet explaining or accounting fora portion <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong> simply means that weunderst<strong>and</strong> how various fac<strong>to</strong>rs affect <strong>earnings</strong>,not that <strong>the</strong> resulting salary disparities are fair ordesirable. For example, <strong>wo<strong>men</strong></strong> are more likely<strong>to</strong> become teachers, a relatively low-<strong>pay</strong>ing jobfor a <strong>college</strong> graduate, while <strong>men</strong> are more likely<strong>to</strong> enter higher-<strong>pay</strong>ing fields such as engineering.Although different job types “explain” part <strong>of</strong><strong>the</strong> <strong>pay</strong> <strong>gap</strong>, cultural <strong>and</strong> o<strong>the</strong>r external fac<strong>to</strong>rsinfluence <strong>the</strong> occupations in which <strong>men</strong><strong>and</strong> <strong>wo<strong>men</strong></strong> work. The AAUW report Why SoFew? Wo<strong>men</strong> in Science, Technology, Engineering,<strong>and</strong> Ma<strong>the</strong>matics (2010) chronicles some <strong>of</strong> <strong>the</strong>cultural norms <strong>and</strong> pressures that drive choicesabout <strong>college</strong> major <strong>and</strong> <strong>the</strong> type <strong>of</strong> job pursued<strong>after</strong> <strong>graduation</strong>. Both <strong>the</strong> explained <strong>and</strong> <strong>the</strong>unexplained portions contribute <strong>to</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong>,<strong>and</strong> each points <strong>to</strong> its own set <strong>of</strong> solutions fornarrowing that <strong>gap</strong>.Discrimination persists in <strong>the</strong> workplace.Gender discrimination, overt <strong>and</strong> subtle, persistsin American workplaces. It occurs when employers<strong>and</strong> co-workers treat <strong>wo<strong>men</strong></strong> in a particularway because <strong>the</strong>y are <strong>wo<strong>men</strong></strong> ra<strong>the</strong>r than on<strong>the</strong> basis <strong>of</strong> individual merit. In 2011 al<strong>one</strong>, <strong>the</strong>federal Equal Employ<strong>men</strong>t Opportunity Commission(EEOC) received more than 28,000complaints <strong>of</strong> sex discrimination, an increase<strong>of</strong> about 18 percent compared with a decadeearlier. Although <strong>the</strong> EEOC will not find all <strong>of</strong>6 Graduating <strong>to</strong> a Pay Gap


<strong>the</strong>se cases <strong>to</strong> have merit, each <strong>year</strong> millions <strong>of</strong>dollars are awarded <strong>to</strong> individuals who file sexdiscrimination claims. M<strong>one</strong>tary awards forcases resolved through <strong>the</strong> EEOC in 2011—notincluding m<strong>one</strong>tary benefits obtained throughlitigation—<strong>to</strong>taled just over $145 million (EqualEmploy<strong>men</strong>t Opportunity Commission, 2012).Additional m<strong>one</strong>y is awarded each <strong>year</strong> incases that are resolved through <strong>the</strong> courts. In<strong>one</strong> notable case in 2010, a federal jury foundNovartis Pharmaceuticals Corporation liablefor gender discrimination in <strong>pay</strong>, promotion,<strong>and</strong> pregnancy-related matters. Twelve formerNovartis sales representatives were awarded$3.36 million in compensa<strong>to</strong>ry damages, <strong>and</strong>5,600 female Novartis sales representatives wereawarded an additional $250 million in punitivedamages (Velez v. Novartis Pharmaceuticals). It islikely that many more <strong>wo<strong>men</strong></strong> who face similarcircumstances do not bring charges against <strong>the</strong>iremployers. The millions <strong>of</strong> dollars awarded each<strong>year</strong> as a result <strong>of</strong> gender discrimination claimsdemonstrate that gender discrimination in <strong>the</strong>workplace continues <strong>to</strong> be a significant problem.Gender discrimination probably accounts forat least part <strong>of</strong> <strong>the</strong> unexplained portion <strong>of</strong> <strong>the</strong><strong>pay</strong> <strong>gap</strong>. A strong body <strong>of</strong> experi<strong>men</strong>tal researchshows that most <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> continue<strong>to</strong> hold biases—<strong>of</strong>ten unconscious—against<strong>wo<strong>men</strong></strong> in <strong>the</strong> workplace, especially against thosewho work in traditionally male fields (AAUW,2010; Jost et al., 2009; Heilman et al., 2004;Eagly & Karau, 2002). In a recent experi<strong>men</strong>t,science faculty members from research-intensiveuniversities selected a higher starting salary formale applicants than <strong>the</strong>y did for identicallyqualified female applicants for a labora<strong>to</strong>ry managerposition. Female <strong>and</strong> male faculty memberswere equally likely <strong>to</strong> exhibit bias against femaleapplicants (Moss-Racusin et al., 2012). Since discriminationis difficult <strong>to</strong> measure directly—<strong>and</strong>o<strong>the</strong>r fac<strong>to</strong>rs may be at play—we do not knowhow much <strong>of</strong> <strong>the</strong> unexplained <strong>pay</strong> <strong>gap</strong> is due <strong>to</strong>discrimination. But because gender discriminationis so common, it is probably responsible forat least part <strong>of</strong> it.Gender discrimination may also play a role in <strong>the</strong>explained portion <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong>. For example,an employer who assumes that <strong>wo<strong>men</strong></strong> preferpositions traditionally held by <strong>wo<strong>men</strong></strong> may notconsider <strong>the</strong>m for higher-<strong>pay</strong>ing, traditionallymale jobs. An individual’s occupation falls in<strong>to</strong><strong>the</strong> explained portion <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong>, but ifemployers hire <strong>wo<strong>men</strong></strong> only for “<strong>wo<strong>men</strong></strong>’s jobs”<strong>and</strong> <strong>men</strong> only for “<strong>men</strong>’s jobs,” this portion<strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong> is explained, in part, by genderdiscrimination. To <strong>the</strong> extent that <strong>wo<strong>men</strong></strong> earnless than <strong>men</strong> earn because <strong>of</strong> discrimination, wehave a societal ill in need <strong>of</strong> a remedy.Why focus on recent <strong>college</strong> graduates?This report examines <strong>the</strong> <strong>pay</strong> <strong>gap</strong> between<strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> working full time in 2009, jus<strong>to</strong>ne <strong>year</strong> <strong>after</strong> <strong>college</strong> <strong>graduation</strong> in 2007–08.We limited our analysis <strong>to</strong> full-time workers <strong>to</strong>make a valid comparison <strong>of</strong> <strong>earnings</strong>. Because<strong>of</strong> <strong>the</strong> poor labor market in 2009, both <strong>men</strong> <strong>and</strong><strong>wo<strong>men</strong></strong> were less likely <strong>to</strong> be working in a fulltimejob <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>graduation</strong> (60 percent <strong>of</strong>male graduates <strong>and</strong> 53 percent <strong>of</strong> female graduates)compared with 2001 (74 percent <strong>of</strong> malegraduates <strong>and</strong> 67 percent <strong>of</strong> female graduates),<strong>the</strong> last time <strong>the</strong>se data were ga<strong>the</strong>red (AAUWEducational Foundation, 2007). Still, <strong>the</strong> majority<strong>of</strong> 2007–08 <strong>college</strong> graduates were workingfull time <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>graduation</strong>. This analysisdoes not include recent graduates who wereunemployed or working part time in 2009. Likewise,it does not address how graduate or pr<strong>of</strong>es-AAUW7


sional degrees affect <strong>earnings</strong> or differences in<strong>earnings</strong> among <strong>college</strong> graduates fur<strong>the</strong>r alongin <strong>the</strong>ir careers. We focus solely on <strong>earnings</strong>differences among <strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong> working fulltime <strong>one</strong> <strong>year</strong> <strong>after</strong> earning <strong>the</strong>ir first bachelor’sdegree.Analyzing <strong>the</strong> gender <strong>pay</strong> <strong>gap</strong> among <strong>college</strong>graduates at <strong>the</strong> beginning <strong>of</strong> <strong>the</strong>ir careers providesvaluable insight. Most are young (23 <strong>year</strong>sold, on average), are relatively inexperienced in<strong>the</strong> workplace, have never been married, <strong>and</strong> arenot raising children. The broad similarities in <strong>the</strong>lives <strong>of</strong> <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> at this time set <strong>the</strong> stagefor a solid comparison.This focus on recent <strong>college</strong> graduates is alsoimportant because <strong>college</strong> graduates are anincreasing proportion <strong>of</strong> <strong>the</strong> labor force, <strong>and</strong> thisis especially true for <strong>wo<strong>men</strong></strong>. In <strong>the</strong> civilian laborforce in 1970, only 11 percent <strong>of</strong> <strong>wo<strong>men</strong></strong> ages25 <strong>to</strong> 64 had attended <strong>college</strong> for at least four<strong>year</strong>s; in 2010, 36 percent <strong>of</strong> <strong>wo<strong>men</strong></strong> in <strong>the</strong> sameage group were <strong>college</strong> graduates. In fact, <strong>to</strong>day,working <strong>wo<strong>men</strong></strong> between <strong>the</strong> ages <strong>of</strong> 25 <strong>and</strong> 64are more likely than <strong>the</strong>ir male counterparts <strong>to</strong>have a <strong>college</strong> degree (36 percent <strong>of</strong> <strong>wo<strong>men</strong></strong> comparedwith 33 percent <strong>of</strong> <strong>men</strong>) (U.S. Depart<strong>men</strong><strong>to</strong>f Labor, 2011b, table 9). By looking at <strong>earnings</strong>differences between <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> workingfull time <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>graduating</strong> from <strong>college</strong>,this report examines <strong>the</strong> <strong>pay</strong> <strong>gap</strong> in an increasinglylarge seg<strong>men</strong>t <strong>of</strong> <strong>the</strong> workforce at a timewhen gender differences in work experience <strong>and</strong>family responsibilities are relatively small.This report uses descriptive statistics <strong>and</strong>regression analysis <strong>to</strong> describe <strong>pay</strong> differencesbetween <strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong> <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong><strong>graduation</strong>. All gender differences reported in<strong>the</strong> text <strong>and</strong> shown in <strong>the</strong> figures are statisticallysignificant (p < 0.05, two-tailed t-test) unlesso<strong>the</strong>rwise indicated. Statistics in this reportwere calculated using data from <strong>the</strong> 2008–09Baccalaureate <strong>and</strong> Beyond Longitudinal Studyconducted by <strong>the</strong> National Center for EducationStatistics (NCES) at <strong>the</strong> U.S. Depart<strong>men</strong><strong>to</strong>f Education, unless o<strong>the</strong>rwise noted. Thismost recent Baccalaureate <strong>and</strong> Beyond cohort waschosen from 2007–08 bachelor’s degree earners<strong>and</strong> interviewed in 2009. NCES interviewed,mostly by teleph<strong>one</strong> or online, approximately15,000 individuals. This nationally representativesample represents all individuals who earned<strong>the</strong>ir first bachelor’s degree between July 1, 2007,<strong>and</strong> June 30, 2008, by age 35 or younger at institutionseligible for federal financial aid (TitleIV-eligible institutions) in <strong>the</strong> United States <strong>and</strong>Puer<strong>to</strong> Rico. Wherever <strong>earnings</strong> are reported,<strong>the</strong> analysis is restricted <strong>to</strong> full-time workers,with <strong>the</strong> exception <strong>of</strong> <strong>the</strong> regression analysis. In<strong>the</strong> regression analysis—presented in figures 10<strong>and</strong> 13—full-time workers <strong>and</strong> multiple-job holderswere included, <strong>and</strong> hours worked were heldconstant.The remainder <strong>of</strong> Graduating <strong>to</strong> a Pay Gap focuseson how fac<strong>to</strong>rs such as <strong>college</strong> major, occupation,<strong>and</strong> hours worked affect <strong>earnings</strong> <strong>and</strong> <strong>the</strong><strong>pay</strong> <strong>gap</strong> among recent <strong>college</strong> graduates <strong>and</strong>provides an estimate <strong>of</strong> <strong>the</strong> unexplained portion<strong>of</strong> <strong>the</strong> gender <strong>pay</strong> <strong>gap</strong>. We also examine<strong>one</strong> immediate effect <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong> for many<strong>wo<strong>men</strong></strong>—high student loan debt burden—<strong>and</strong>suggest ways <strong>to</strong> address that burden, along withsteps that individuals, <strong>the</strong> govern<strong>men</strong>t, <strong>and</strong>employers can take <strong>to</strong> eliminate <strong>the</strong> <strong>pay</strong> <strong>gap</strong>. Fora detailed description <strong>of</strong> our methodology, see<strong>the</strong> appendix.8 Graduating <strong>to</strong> a Pay Gap


Chapter 2The Pay Gap, One Year<strong>after</strong> College GraduationOne <strong>year</strong> <strong>after</strong> <strong>college</strong> <strong>graduation</strong>, <strong>men</strong> <strong>and</strong><strong>wo<strong>men</strong></strong> have much in common. In 2009, most<strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong> who had earned bachelor’sdegrees <strong>the</strong> <strong>year</strong> before were young, single, childless,relatively inexperienced in <strong>the</strong> workplace,<strong>and</strong> working full time. We might expect <strong>to</strong> findlittle or no gender <strong>pay</strong> <strong>gap</strong> among this group<strong>of</strong> workers at <strong>the</strong> start <strong>of</strong> <strong>the</strong>ir careers. Yet jus<strong>to</strong>ne <strong>year</strong> <strong>after</strong> <strong>college</strong> <strong>graduation</strong>, with <strong>the</strong>irnewly printed degrees in h<strong>and</strong>, <strong>men</strong> already earnmore than <strong>wo<strong>men</strong></strong> do. Wo<strong>men</strong> working full timeearned $35,296 on average, while <strong>men</strong> workingfull time earned $42,918 (see figure 1). Thesefigures represent a female/male <strong>earnings</strong> ratio <strong>of</strong>82 percent, which is slightly higher than it wasin 2001 when, among <strong>the</strong> same group, <strong>wo<strong>men</strong></strong>earned just 80 percent <strong>of</strong> what <strong>the</strong>ir male peersearned (AAUW Educational Foundation, 2007).Why does a <strong>pay</strong> <strong>gap</strong> already exist between <strong>the</strong><strong>earnings</strong> <strong>of</strong> <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> who have just graduatedfrom <strong>college</strong>? In this chapter, we look at<strong>the</strong> effect on <strong>earnings</strong> <strong>of</strong> gender differences infac<strong>to</strong>rs such as <strong>college</strong> major, occupation, hoursat work, economic sec<strong>to</strong>r, <strong>and</strong> <strong>the</strong> presence <strong>of</strong>FIGURE 1. Average Annual Earnings One Year<strong>after</strong> College Graduation, by Gender$50,000$40,000$30,000$20,000$10,0000$35,29682%$42,918Wo<strong>men</strong>Note: This chart shows average <strong>earnings</strong> among 2007–08 bachelor’s degree recipients employedfull time in 2009 <strong>and</strong> excludes graduates older than age 35 at bachelor’s degree completion.Source: Authors’ analysis <strong>of</strong> U.S. Depart<strong>men</strong>t <strong>of</strong> Education, National Center for EducationStatistics, 2008–09 Baccalaureate <strong>and</strong> Beyond Longitudinal Study data.Menxx%= Wo<strong>men</strong>’s<strong>earnings</strong> as apercentage <strong>of</strong> <strong>men</strong>’s<strong>earnings</strong>children. Using regression analysis, we <strong>the</strong>nexamine <strong>the</strong> <strong>earnings</strong> <strong>of</strong> <strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong> <strong>after</strong>controlling for all <strong>of</strong> <strong>the</strong>se fac<strong>to</strong>rs taken <strong>to</strong>ge<strong>the</strong>r.AAUW9


Gender differences in education accountfor part <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong>.A <strong>college</strong> degree improves <strong>earnings</strong> considerably(AAUW, 2012), <strong>and</strong> this state<strong>men</strong>t is evenmore true <strong>to</strong>day than it was in <strong>the</strong> past (Goldin& Katz, 2008; Blau & Kahn, 2007). In 2009,among full-time workers, <strong>wo<strong>men</strong></strong> with a bachelor’sdegree typically earned 161 percent <strong>of</strong> what<strong>wo<strong>men</strong></strong> with just a high school degree earned,up from 153 percent in 1990 (authors’ analysis <strong>of</strong>table 391, Snyder & Dillow, 2011). For <strong>men</strong>, thistrend is <strong>the</strong> same. 1 According <strong>to</strong> <strong>one</strong> estimate,individuals with a bachelor’s degree earn, onaverage, $1 million more over <strong>the</strong> course <strong>of</strong> a lifetimethan do individuals with just a high schooldegree (Carnevale et al., 2010).But not all <strong>college</strong> degrees result in equal <strong>earnings</strong>.How does attending a selective <strong>college</strong> oruniversity affect <strong>earnings</strong>? Do good grades makea difference? And what is <strong>the</strong> effect <strong>of</strong> <strong>college</strong>major? Two <strong>of</strong> <strong>the</strong>se fac<strong>to</strong>rs have little effect on<strong>the</strong> <strong>pay</strong> <strong>gap</strong>, whereas <strong>the</strong> third turns out <strong>to</strong> makea considerable difference.Wo<strong>men</strong> <strong>and</strong> <strong>men</strong> graduate from similar kinds <strong>of</strong><strong>college</strong>s <strong>and</strong> universities.For <strong>the</strong> most part, <strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong> graduatefrom similar types <strong>of</strong> <strong>college</strong>s <strong>and</strong> universities, 2<strong>and</strong> <strong>the</strong> <strong>college</strong>s <strong>and</strong> universities from which<strong>the</strong>y graduate are similarly selective. Just overhalf (52 percent) <strong>of</strong> 2007–08 <strong>college</strong> graduatesgraduated from “moderately selective” schools,<strong>and</strong> nearly half (47 percent) graduated from publicuniversities. Wo<strong>men</strong> were more likely than<strong>men</strong> <strong>to</strong> have graduated from <strong>college</strong>s (36 percen<strong>to</strong>f <strong>wo<strong>men</strong></strong> compared with 29 percent <strong>of</strong> <strong>men</strong>)ra<strong>the</strong>r than universities. Men, on <strong>the</strong> o<strong>the</strong>r h<strong>and</strong>,were more likely than <strong>wo<strong>men</strong></strong> <strong>to</strong> have graduatedfrom “very selective” <strong>college</strong>s or universities (34percent compared with 30 percent) <strong>and</strong> frompublic universities (51 percent compared with 45percent). Apart from <strong>the</strong>se differences, <strong>men</strong> <strong>and</strong><strong>wo<strong>men</strong></strong> earned <strong>the</strong>ir degrees from similar kinds<strong>of</strong> institutions.Earnings <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>graduation</strong> varied byinstitution type <strong>and</strong> selectivity, with graduates<strong>of</strong> very selective, private universities typicallyhaving higher <strong>earnings</strong>. Because <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong>generally graduated from institutions <strong>of</strong> similartype <strong>and</strong> selectivity, however, <strong>the</strong> differences in<strong>earnings</strong> based on institution type <strong>and</strong> selectivitydo little <strong>to</strong> explain <strong>the</strong> <strong>pay</strong> <strong>gap</strong>. In fact, <strong>the</strong><strong>pay</strong> <strong>gap</strong> exists within nearly every category <strong>of</strong>institution <strong>and</strong> level <strong>of</strong> selectivity. Among public<strong>and</strong> private <strong>college</strong> graduates, <strong>wo<strong>men</strong></strong> earned81 percent <strong>and</strong> 86 percent, respectively, <strong>of</strong> what<strong>men</strong> earned <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>graduation</strong>. Wo<strong>men</strong>who graduated from public universities earned86 percent <strong>of</strong> what <strong>the</strong>ir male peers earned. The<strong>pay</strong> <strong>gap</strong> was largest among graduates <strong>of</strong> privateuniversities, where <strong>wo<strong>men</strong></strong> earned just 75 percen<strong>to</strong>f what <strong>men</strong> earned (see figure 2). Among graduates<strong>of</strong> similarly selective schools, <strong>wo<strong>men</strong></strong> earnedbetween 81 percent <strong>and</strong> 84 percent <strong>of</strong> what <strong>men</strong>earned. No matter which type <strong>of</strong> institution awoman graduates from or how selective it is, <strong>one</strong><strong>year</strong> later, chances are good that she is earningless than <strong>the</strong> <strong>men</strong> with whom she graduated.1In 2009, median <strong>earnings</strong> for <strong>men</strong> ages 25 <strong>and</strong> older with a bachelor’s degree working full time, <strong>year</strong>-round were 158 percent <strong>of</strong> median <strong>earnings</strong>for <strong>men</strong> with just a high school degree, up from 147 percent in 1990 (authors’ analysis <strong>of</strong> table 391, Snyder & Dillow, 2011).2A university is defined here as an institution that <strong>of</strong>fers doc<strong>to</strong>ral, four-<strong>year</strong>, <strong>and</strong> o<strong>the</strong>r degrees. A <strong>college</strong> is defined as any four-<strong>year</strong> schoolthat does not also <strong>of</strong>fer doc<strong>to</strong>ral degrees.10 Graduating <strong>to</strong> a Pay Gap


$50,000$40,000$30,000$37,09475%FIGURE 2. Average Annual Earnings One Year <strong>after</strong> CollegeGraduation, by Gender <strong>and</strong> Institution Sec<strong>to</strong>r$49,699$35,58586%$41,603$34,10081%$41,842$33,33086%$38,587Wo<strong>men</strong>Menxx%= Wo<strong>men</strong>’s<strong>earnings</strong> as apercentage <strong>of</strong> <strong>men</strong>’s<strong>earnings</strong>$20,000$10,0000Private nonpr<strong>of</strong>it universityPublic universityPublic <strong>college</strong>Private nonpr<strong>of</strong>it <strong>college</strong>Note: This chart shows average <strong>earnings</strong> among 2007–08 bachelor’s degree recipients employed full time in 2009 <strong>and</strong> excludes graduates older than age 35 at bachelor’s degree completion.Source: Authors’ analysis <strong>of</strong> U.S. Depart<strong>men</strong>t <strong>of</strong> Education, National Center for Education Statistics, 2008–09 Baccalaureate <strong>and</strong> Beyond Longitudinal Study data.Wo<strong>men</strong> <strong>and</strong> <strong>men</strong> earn similar grades.Wo<strong>men</strong> as a group had a slightly higher gradepoint average (3.30 on a 4.0 scale) than did<strong>the</strong>ir male peers (3.18). In 2009, <strong>one</strong> <strong>year</strong> out <strong>of</strong><strong>college</strong>, 19 percent <strong>of</strong> <strong>wo<strong>men</strong></strong> compared with15 percent <strong>of</strong> <strong>men</strong> had graduated with a gradepoint average <strong>of</strong> 3.75 or higher. For both <strong>men</strong> <strong>and</strong><strong>wo<strong>men</strong></strong>, <strong>earnings</strong> tend <strong>to</strong> increase with highergrades. Still, when we compare <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong>with similar grades, <strong>men</strong> earned more than<strong>wo<strong>men</strong></strong> did, on average, at every level. Academicachieve<strong>men</strong>t does not shed any light on why<strong>wo<strong>men</strong></strong> earn less than <strong>men</strong> do.Men <strong>and</strong> <strong>wo<strong>men</strong></strong> major in different fields.Although <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> attended similartypes <strong>of</strong> <strong>college</strong>s <strong>and</strong> universities <strong>and</strong> earnedsimilar grades, <strong>the</strong>y tended <strong>to</strong> major in differentfields. Despite <strong>the</strong> dramatic increase in <strong>wo<strong>men</strong></strong>’seducational achieve<strong>men</strong>ts in recent decades,deep-rooted gender differences remain in field<strong>of</strong> study (Zhang, 2008; Bobbitt-Zeher, 2007;Engl<strong>and</strong>, Allison, Li, et al., 2007; McDonald& Thorn<strong>to</strong>n, 2007; Charles & Grusky, 2004;Charles & Bradley, 2002). Research on doc<strong>to</strong>raldegree recipients, for example, shows that <strong>the</strong>proportion <strong>of</strong> doc<strong>to</strong>ral degrees awarded <strong>to</strong>AAUW11


FIGURE 3. Gender Composition <strong>of</strong> College MajorsWo<strong>men</strong>MenNo significant genderdifference in majorcompositionHealth care fields 88% 12%Education 81% 19%Social sciences 63% 37%O<strong>the</strong>r applied fields 1 61% 39%Biological <strong>and</strong> physical sciences,science technology, ma<strong>the</strong>matics,<strong>and</strong> agricultural sciences 2, 3Humanities 60% 40%Business 2Computer <strong>and</strong> information sciences 19% 81%Engineering <strong>and</strong> engineering technology 18% 82%Note: This chart shows undergraduate majors among 2007–08 bachelor’s degree recipients <strong>and</strong> excludes graduates older than age 35 at bachelor’s degree completion.Source: Authors’ analysis <strong>of</strong> U.S. Depart<strong>men</strong>t <strong>of</strong> Education, National Center for Education Statistics, 2008–09 Baccalaureate <strong>and</strong> Beyond Longitudinal Study data.1Includes architecture, communications, public administration <strong>and</strong> human services, design <strong>and</strong> applied arts, law <strong>and</strong> legal studies, library sciences, <strong>and</strong> <strong>the</strong>ology <strong>and</strong> religious vocations.2Wo<strong>men</strong> <strong>and</strong> <strong>men</strong> each make up about half <strong>of</strong> graduates who majored in <strong>the</strong>se fields. Percentages are not significantly different for <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> (p < 0.05, two-tailed t-test).3Although <strong>the</strong>se majors are gender balanced as a group, <strong>the</strong> representation <strong>of</strong> <strong>wo<strong>men</strong></strong> varies substantially among <strong>the</strong> majors included in this category. Wo<strong>men</strong> are more likely than <strong>men</strong> <strong>to</strong> major in <strong>the</strong>biological sciences, <strong>and</strong> <strong>men</strong> are more likely <strong>to</strong> major in <strong>the</strong> physical sciences, agricultural sciences, <strong>and</strong> ma<strong>the</strong>matics (National Science Foundation, 2011, table 5-1).<strong>wo<strong>men</strong></strong> has increased dramatically (from 14 percent<strong>to</strong> 46 percent between 1971 <strong>and</strong> 2002), but<strong>the</strong>re has been little change in <strong>the</strong> fields in which<strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> study (Engl<strong>and</strong> & Li, 2006).Because field <strong>of</strong> study is viewed as a free choice,many people do not consider <strong>the</strong> segregation <strong>of</strong><strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> in<strong>to</strong> different <strong>college</strong> majors <strong>to</strong>be an issue <strong>of</strong> equal opportunity. Yet subtle <strong>and</strong>overt pressures can drive <strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong> awayfrom <strong>college</strong> majors that are nontraditional for<strong>the</strong>ir gender. The segregation <strong>of</strong> <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong>in<strong>to</strong> different <strong>college</strong> majors is a long-st<strong>and</strong>ingpheno<strong>men</strong>on that persists <strong>to</strong>day.Among 2007–08 <strong>college</strong> graduates, young <strong>men</strong><strong>and</strong> <strong>wo<strong>men</strong></strong> typically chose different <strong>college</strong>majors. Wo<strong>men</strong> made up <strong>the</strong> large majority <strong>of</strong>graduates in health care fields (88 percent) <strong>and</strong>education (81 percent). At <strong>the</strong> same time, <strong>wo<strong>men</strong></strong>were a distinct minority in engineering <strong>and</strong>engineering technology (18 percent) <strong>and</strong> computer<strong>and</strong> information sciences (19 percent; seefigure 3). O<strong>the</strong>r majors, like business, are moregender balanced, but most major categories tiltei<strong>the</strong>r male or female. Looked at ano<strong>the</strong>r way,about 11 percent <strong>of</strong> <strong>wo<strong>men</strong></strong> majored in educationcompared with only 4 percent <strong>of</strong> <strong>men</strong> (seefigure 4). Wo<strong>men</strong> were also more likely than <strong>men</strong><strong>to</strong> major in <strong>the</strong> social sciences <strong>and</strong> health carefields. Business was <strong>the</strong> most popular major forboth <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong>, but it was more popularfor <strong>men</strong> (27 percent <strong>of</strong> <strong>men</strong> <strong>and</strong> 19 percent <strong>of</strong><strong>wo<strong>men</strong></strong> majored in business). Men were alsomore likely than <strong>wo<strong>men</strong></strong> <strong>to</strong> major in three areas:12 Graduating <strong>to</strong> a Pay Gap


FIGURE 4. College Major Choice, by Gender1%Wo<strong>men</strong>19%18%16% 13% 2 11% 10% 7% 3% 2 2%Men27%14%14% 12% 2 4% 2% 9% 2% 2 12% 5%BusinessSocial sciencesO<strong>the</strong>r applied fields 1Humanities 2EducationHealth care fieldsBiological <strong>and</strong> physical sciences,science technology, ma<strong>the</strong>matics,<strong>and</strong> agricultural sciencesGeneral studies <strong>and</strong> o<strong>the</strong>r 2, 3Engineering <strong>and</strong>engineering technologyComputer <strong>and</strong>information sciencesxx%= Percentage <strong>of</strong>degrees awardedwithin genderNotes: This chart shows undergraduate majors <strong>of</strong> 2007–08 bachelor’s degree recipients <strong>and</strong> excludes graduates older than age 35 at bachelor’s degree completion. Percentages may not add up <strong>to</strong> 100because <strong>of</strong> rounding.Source: Authors’ analysis <strong>of</strong> U.S. Depart<strong>men</strong>t <strong>of</strong> Education, National Center for Education Statistics, 2008–09 Baccalaureate <strong>and</strong> Beyond Longitudinal Study data.1Includes architecture, communications, public administration <strong>and</strong> human services, design <strong>and</strong> applied arts, law <strong>and</strong> legal studies, library sciences, <strong>and</strong> <strong>the</strong>ology <strong>and</strong> religious vocations.2Percentages are not significantly different for <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> (p < 0.05, two-tailed t-test).3Includes general studies, community <strong>and</strong> citizenship studies, liberal studies, humanistic studies, multi- <strong>and</strong> interdisciplinary studies, develop<strong>men</strong>tal <strong>and</strong> remedial education, <strong>and</strong> o<strong>the</strong>rs.science <strong>and</strong> math, engineering, <strong>and</strong> computer<strong>and</strong> information sciences. Wo<strong>men</strong> have madegreat inroads in<strong>to</strong> higher levels <strong>of</strong> education, but<strong>the</strong>y have d<strong>one</strong> so largely without desegregating<strong>the</strong> various fields <strong>of</strong> study.Different <strong>college</strong> majors lead <strong>to</strong> different <strong>earnings</strong>.When we look at <strong>wo<strong>men</strong></strong>’s <strong>and</strong> <strong>men</strong>’s<strong>earnings</strong> by undergraduate major, clear patternsemerge. Graduates who earned degrees infemale-dominated majors tend <strong>to</strong> get jobs that<strong>pay</strong> less than <strong>the</strong> jobs held by graduates whoearned degrees in male-dominated majors. Forexample, <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>graduation</strong>, <strong>the</strong> averagefull-time-employed female social science majorearned just 66 percent <strong>of</strong> what <strong>the</strong> average fulltime-employedfemale engineering or engineeringtechnology major earned ($31,924 comparedwith $48,493). Men who majored in a socialscience field, likewise, earned just 70 percent <strong>of</strong>what <strong>men</strong> who majored in engineering or engineeringtechnology earned ($38,634 comparedwith $55,142; see figure 5).Perhaps not surprisingly, many <strong>of</strong> <strong>the</strong> majorsthat <strong>of</strong>fer higher <strong>earnings</strong> <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong>are <strong>the</strong> same majors that provide higher <strong>earnings</strong>throughout <strong>the</strong> course <strong>of</strong> a career. A recentanalysis conducted by George<strong>to</strong>wn University’sCenter on Education <strong>and</strong> <strong>the</strong> Workforce (Carnevale,Strohl, & Mel<strong>to</strong>n, 2011) determinedmedian salaries for <strong>college</strong> graduates at all levels<strong>of</strong> <strong>the</strong>ir careers, combining salaries <strong>of</strong> workersfrom ages 25 <strong>to</strong> 64 <strong>to</strong> arrive at <strong>one</strong> median salaryfor a specific major. This analysis providesa sense <strong>of</strong> <strong>the</strong> comparative <strong>earnings</strong> <strong>of</strong> majorsover <strong>the</strong> span <strong>of</strong> a lifetime career. Researchersfound that individuals who majored in science,AAUW13


FIGURE 5. Average Annual Earnings One Year <strong>after</strong> College Graduation,by Undergraduate Major <strong>and</strong> Gender$60,000$50,000$48,493$55,14288%$45,582$51,296$45,143Wo<strong>men</strong>MenNo significant genderdifference in <strong>earnings</strong>xx%= Wo<strong>men</strong>’s<strong>earnings</strong> as apercentage <strong>of</strong> <strong>men</strong>’s<strong>earnings</strong>$40,000$30,000$39,61877%$38,03484%$34,989$33,180$31,924$38,634$31,38283% 87%$36,208$31,015$20,000$10,0000Engineering <strong>and</strong>engineering technologyHealth care fieldsComputer <strong>and</strong>information sciencesBusinessBiological <strong>and</strong>physical sciences,science technology,ma<strong>the</strong>matics, <strong>and</strong>agricultural sciencesEducationSocial sciencesO<strong>the</strong>rapplied fields*HumanitiesNotes: This chart shows average <strong>earnings</strong> among 2007–08 bachelor’s degree recipients employed full time in 2009 <strong>and</strong> excludes graduates older than age 35 at bachelor’s degree completion. In majors withred <strong>and</strong> green columns shown, <strong>men</strong> earned significantly more than <strong>wo<strong>men</strong></strong> earned. In majors with <strong>one</strong> blue column shown, <strong>the</strong>re were no significant gender differences in <strong>earnings</strong> <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>graduation</strong>.Source: Authors’ analysis <strong>of</strong> U.S. Depart<strong>men</strong>t <strong>of</strong> Education, National Center for Education Statistics, 2008–09 Baccalaureate <strong>and</strong> Beyond Longitudinal Study data.*Includes architecture, communications, public administration <strong>and</strong> human services, design <strong>and</strong> applied arts, law <strong>and</strong> legal studies, library sciences, <strong>and</strong> <strong>the</strong>ology <strong>and</strong> religious vocations.engineering, <strong>and</strong> business tended <strong>to</strong> be better <strong>of</strong>ffinancially, on average, throughout <strong>the</strong>ir careersthan those who majored in <strong>the</strong> liberal arts <strong>and</strong>humanities, education, <strong>and</strong> social work. The<strong>pay</strong> differences associated with different <strong>college</strong>majors are not trivial. For example, <strong>the</strong> highestearningmajor in <strong>the</strong> George<strong>to</strong>wn study (petroleu<strong>men</strong>gineering, with median annual <strong>earnings</strong><strong>of</strong> $120,000) earned four times as much as <strong>the</strong>lowest-earning major (counseling psychology,with median annual <strong>earnings</strong> <strong>of</strong> $29,000).Yet choice <strong>of</strong> major explains only part <strong>of</strong> <strong>the</strong><strong>pay</strong> <strong>gap</strong>. As figure 5 shows, even when <strong>men</strong> <strong>and</strong><strong>wo<strong>men</strong></strong> choose <strong>the</strong> same major, <strong>wo<strong>men</strong></strong> still<strong>of</strong>ten earn less than <strong>men</strong> do <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong><strong>graduation</strong>. Among business majors, <strong>wo<strong>men</strong></strong>earned just over $38,000, while <strong>men</strong> earned jus<strong>to</strong>ver $45,000. Although <strong>earnings</strong> for <strong>men</strong> <strong>and</strong><strong>wo<strong>men</strong></strong> were similar in some majors, such ashealth care fields <strong>and</strong> education, in o<strong>the</strong>rs likeengineering <strong>and</strong> engineering technology, computer<strong>and</strong> information sciences, <strong>and</strong> <strong>the</strong> socialsciences, <strong>wo<strong>men</strong></strong> earned between 77 percent <strong>and</strong>88 percent <strong>of</strong> what <strong>men</strong> earned.Educational fac<strong>to</strong>rs—primarily gender differencesin <strong>college</strong> major <strong>and</strong>, <strong>to</strong> a lesser extent,differences in <strong>college</strong> type <strong>and</strong> selectivity—helpexplain a portion <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong>. For <strong>the</strong> mostpart, <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> graduate from similartypes <strong>of</strong> <strong>college</strong>s <strong>and</strong> universities. When we compare<strong>the</strong> <strong>earnings</strong> <strong>of</strong> <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> who graduatedfrom <strong>the</strong> same kinds <strong>of</strong> institutions, <strong>wo<strong>men</strong></strong>14 Graduating <strong>to</strong> a Pay Gap


FIGURE 6. Employ<strong>men</strong>t Status One Year <strong>after</strong> College Graduation, by GenderWo<strong>men</strong>53% 16% 15% 8% 8%*Men60% 12% 12% 10% 7%*Full time, <strong>one</strong> jobPart time, <strong>one</strong> jobMultiple jobsUnemployedOut <strong>of</strong> labor force*Notes: Excludes graduates older than age 35 at bachelor’s degree completion. Percentages may not add up <strong>to</strong> 100 for each gender because <strong>of</strong> rounding.Source: Authors’ analysis <strong>of</strong> U.S. Depart<strong>men</strong>t <strong>of</strong> Education, National Center for Education Statistics, 2008–09 Baccalaureate <strong>and</strong> Beyond Longitudinal Study data.* Percentages are not significantly different for <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> (p < 0.05, two-tailed t-test).typically earn less than <strong>the</strong> <strong>men</strong> with whom <strong>the</strong>ygraduated. Wo<strong>men</strong> earn higher grades in <strong>college</strong>,on average, than <strong>men</strong> do, so academic achieve<strong>men</strong>tdoes not help us underst<strong>and</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong>.The most influential education difference is that<strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> tend <strong>to</strong> choose different <strong>college</strong>majors. Traditionally “male” majors tend <strong>to</strong>lead <strong>to</strong> jobs that <strong>pay</strong> more than jobs associatedwith traditionally “female” majors. Yet when wecompare <strong>the</strong> <strong>earnings</strong> <strong>of</strong> <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> whochose <strong>the</strong> same major, <strong>wo<strong>men</strong></strong> still <strong>of</strong>ten earn lessthan <strong>the</strong>ir male peers do <strong>one</strong> <strong>year</strong> out <strong>of</strong> <strong>college</strong>.Education does affect <strong>earnings</strong>, but genderdifferences in <strong>college</strong> major <strong>and</strong> o<strong>the</strong>r educationfac<strong>to</strong>rs do not fully explain <strong>the</strong> <strong>pay</strong> <strong>gap</strong>.Gender differences in employ<strong>men</strong>t alsoexplain part <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong>.Despite <strong>the</strong> poor job market in 2009, <strong>the</strong> largemajority (84 percent) <strong>of</strong> <strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong> whograduated in 2007–08 were employed <strong>one</strong> <strong>year</strong><strong>after</strong> <strong>graduation</strong> (see figure 6). Most graduateswere working full time for <strong>one</strong> employer, <strong>and</strong>this situation was more common for <strong>men</strong> thanfor <strong>wo<strong>men</strong></strong> (60 percent <strong>of</strong> <strong>men</strong> compared with53 percent <strong>of</strong> <strong>wo<strong>men</strong></strong>). Just as with education,gender differences in employ<strong>men</strong>t help explainpart—but not all—<strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong>. How dooccupation, hours worked, <strong>and</strong> economic sec<strong>to</strong>raffect <strong>the</strong> <strong>earnings</strong> <strong>of</strong> full-time workers, <strong>and</strong> howdo <strong>wo<strong>men</strong></strong>’s <strong>earnings</strong> compare with <strong>men</strong>’s <strong>earnings</strong>when we control for each <strong>of</strong> <strong>the</strong>se fac<strong>to</strong>rs?Wo<strong>men</strong> <strong>and</strong> <strong>men</strong> tend <strong>to</strong> work in differen<strong>to</strong>ccupations.One <strong>year</strong> <strong>after</strong> <strong>graduation</strong>, <strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong> tend<strong>to</strong> work in different types <strong>of</strong> jobs (see figure 7).Wo<strong>men</strong> are more likely than <strong>men</strong> <strong>to</strong> work inbusiness support <strong>and</strong> administrative assistanceoccupations <strong>and</strong> as teachers, social servicespr<strong>of</strong>essionals, <strong>and</strong> nurses <strong>and</strong> o<strong>the</strong>r health careproviders. Men are more likely than <strong>wo<strong>men</strong></strong> <strong>to</strong>work in business <strong>and</strong> manage<strong>men</strong>t occupations;AAUW15


FIGURE 7. Occupation One Year <strong>after</strong> College Graduation, by Gender1% 1Wo<strong>men</strong>20% 18% 15% 8% 1 7% 1 7% 7% 7% 5% 3% 2%Men28% 10% 5% 9% 1 8% 1 15%2%10%10%1%1%1% 1Business/manage<strong>men</strong>tBusiness support/administrative assistancePK–12 educa<strong>to</strong>rsSales occupations 1O<strong>the</strong>r white-collar occupations 1, 2 O<strong>the</strong>r health care occupations 3O<strong>the</strong>r occupations 2Math, computer, <strong>and</strong>physical science occupationsNursesSocial services pr<strong>of</strong>essionalsEngineersLife science occupations 1xx%= Percentage <strong>of</strong> maleor female graduateswithin a specificoccupationNote: This chart shows occupations among 2007–08 bachelor’s degree recipients employed full time in 2009 <strong>and</strong> excludes graduates older than age 35 at bachelor’s degree completion.Source: Authors’ analysis <strong>of</strong> U.S. Depart<strong>men</strong>t <strong>of</strong> Education, National Center for Education Statistics, 2008–09 Baccalaureate <strong>and</strong> Beyond Longitudinal Study data.1Percentages are not significantly different for <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> (p < 0.05, two-tailed t-test).2See footnotes in appendix, figure 13, for lists <strong>of</strong> occupations included in <strong>the</strong> “o<strong>the</strong>r white-collar occupations” <strong>and</strong> “o<strong>the</strong>r occupations” categories.3Includes health care practiti<strong>one</strong>rs <strong>and</strong> technical occupations (except registered nurses, emergency medical technicians/paramedics, <strong>and</strong> licensed practical/vocational nurses), <strong>and</strong> health care suppor<strong>to</strong>ccupations.math, computer, <strong>and</strong> physical science occupations;engineering; <strong>and</strong> “o<strong>the</strong>r,” mainly bluecollar,occupations.Since <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> tend <strong>to</strong> major in differentfields, it may not seem surprising that <strong>the</strong>y <strong>of</strong>tenend up in different occupations. But occupationalsegregation is a stubborn <strong>and</strong> persistentpheno<strong>men</strong>on that occurs even among studentswho graduate with degrees in <strong>the</strong> same fields.Among social science graduates, for example,<strong>men</strong> were more likely <strong>to</strong> work in business ormanage<strong>men</strong>t occupations (26 percent <strong>of</strong> <strong>men</strong>compared with 11 percent <strong>of</strong> <strong>wo<strong>men</strong></strong>), while<strong>wo<strong>men</strong></strong> were more likely <strong>to</strong> work as social servicespr<strong>of</strong>essionals (16 percent <strong>of</strong> <strong>wo<strong>men</strong></strong> bu<strong>to</strong>nly 6 percent <strong>of</strong> <strong>men</strong>), in health care occupations(7 percent <strong>of</strong> <strong>wo<strong>men</strong></strong> compared with 1 percen<strong>to</strong>f <strong>men</strong>), <strong>and</strong> as PK–12 educa<strong>to</strong>rs (7 percen<strong>to</strong>f <strong>wo<strong>men</strong></strong> compared with 2 percent <strong>of</strong> <strong>men</strong>).Among engineering <strong>and</strong> engineering technologymajors, 57 percent <strong>of</strong> <strong>men</strong> were working asengineers compared with 39 percent <strong>of</strong> <strong>wo<strong>men</strong></strong>.In contrast, 20 percent <strong>of</strong> <strong>wo<strong>men</strong></strong> who graduatedwith an engineering or engineering technologydegree were working in a white-collar occupationo<strong>the</strong>r than engineering, science, or business,compared with 4 percent <strong>of</strong> <strong>men</strong>. O<strong>the</strong>r researchhas found that female science <strong>and</strong> businessmajors are twice as likely as <strong>the</strong>ir male counterparts<strong>to</strong> enter clerical work. Men in <strong>the</strong>se majorsare more likely <strong>to</strong> go in<strong>to</strong> manage<strong>men</strong>t jobs (Joy,2000, 2006).Gender differences in occupation translate in<strong>to</strong>different <strong>earnings</strong> for <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong>. Not onlydo <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> tend <strong>to</strong> work in differen<strong>to</strong>ccupations, <strong>men</strong> tend <strong>to</strong> work in higher-<strong>pay</strong>ing16 Graduating <strong>to</strong> a Pay Gap


$25,998$38,138FIGURE 8. Average Annual Earnings One Year <strong>after</strong> College Graduation, by Occupation <strong>and</strong> Gender$60,000$50,000$40,000$30,000$20,00093%$48,12083%$36,09279%89%$33,434$37,57978%$29,06969%54%$30,829 $31,033$32,48877%Wo<strong>men</strong>MenNo significant gender differencein <strong>earnings</strong>xx% Percentage <strong>of</strong> <strong>wo<strong>men</strong></strong> in occupationxx%= Wo<strong>men</strong>’s <strong>earnings</strong> as a percentage <strong>of</strong> <strong>men</strong>’s <strong>earnings</strong>$42,24453%$30,41387%51%$34,889$41,64886%$48,44746%68%36%$48,485$55,04624%$10,00015%0Nurses 1O<strong>the</strong>r health careoccupations 2PK–12 educa<strong>to</strong>rsSocial servicespr<strong>of</strong>essionalsBusiness support/administrative assistanceLife science pr<strong>of</strong>essionalsSales occupationsO<strong>the</strong>r white-collaroccupations 3Business/manage<strong>men</strong>tO<strong>the</strong>r occupations 3Math, computer, <strong>and</strong>physical science occupationsEngineersNotes: This chart shows average <strong>earnings</strong> among 2007–08 bachelor’s degree recipients employed full time in 2009 <strong>and</strong> excludes graduates older than age 35 at bachelor’s degree completion. In occupationswith red <strong>and</strong> green columns shown, <strong>men</strong> earned significantly more than <strong>wo<strong>men</strong></strong>. In occupations with <strong>one</strong> blue column shown, <strong>the</strong>re were no significant gender differences in <strong>earnings</strong> <strong>one</strong> <strong>year</strong> <strong>after</strong><strong>graduation</strong>.Source: Authors’ analysis <strong>of</strong> U.S. Depart<strong>men</strong>t <strong>of</strong> Education, National Center for Education Statistics, 2008–09 Baccalaureate <strong>and</strong> Beyond Longitudinal Study data.1The number <strong>of</strong> male nurses was <strong>to</strong>o small <strong>to</strong> meet <strong>the</strong> reporting st<strong>and</strong>ards, so we were unable <strong>to</strong> test for significant gender differences in <strong>earnings</strong> among nurses.2Includes health care practiti<strong>one</strong>rs <strong>and</strong> technical occupations (except registered nurses, emergency medical technicians/paramedics, <strong>and</strong> licensed practical/vocational nurses), <strong>and</strong> health care suppor<strong>to</strong>ccupations.3See footnotes in appendix, figure 13, for lists <strong>of</strong> occupations included in <strong>the</strong> “o<strong>the</strong>r white-collar occupations” <strong>and</strong> “o<strong>the</strong>r occupations” categories.“male” jobs, <strong>and</strong> <strong>wo<strong>men</strong></strong> tend <strong>to</strong> work in lower<strong>pay</strong>ing“female” jobs (Hegewisch et al., 2010; seefigure 8). 3 For example, although salaries are highin engineering, <strong>wo<strong>men</strong></strong> made up just 15 percen<strong>to</strong>f recent <strong>college</strong> graduates working in that fieldin 2009. In <strong>the</strong> not-so-distant past, employersexplicitly assigned “female” jobs lower wagesthan “male” jobs simply because <strong>wo<strong>men</strong></strong> held<strong>the</strong>m. Inertia in wages <strong>and</strong> gender ratios withinoccupations contributes <strong>to</strong> <strong>the</strong> persistence <strong>of</strong>lower wages in “female” jobs (Engl<strong>and</strong>, Allison, &Wu, 2007; Kim, 1999).Occupational segregation contributes <strong>to</strong> <strong>the</strong>gender <strong>pay</strong> <strong>gap</strong> but cannot explain it completely.According <strong>to</strong> <strong>the</strong> U.S. Depart<strong>men</strong>t <strong>of</strong> Labor(2011a), <strong>men</strong> earn more than <strong>wo<strong>men</strong></strong> do in <strong>the</strong>vast majority <strong>of</strong> occupations. Our analysis findsthat in many occupational categories, <strong>wo<strong>men</strong></strong>already earn less than <strong>men</strong> do just <strong>one</strong> <strong>year</strong> out3Nursing is a clear exception, with relatively high wages as well as high female representation <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong> <strong>graduation</strong>. O<strong>the</strong>rresearch has indicated that wage growth in some nursing fields is low (Lovell, 2006). Some types <strong>of</strong> nursing, however, provide relatively highwages throughout a career.AAUW17


<strong>of</strong> <strong>college</strong>. In some fields, <strong>the</strong> <strong>earnings</strong> <strong>of</strong> <strong>men</strong><strong>and</strong> <strong>wo<strong>men</strong></strong> were similar, but in no occupationalcategory did <strong>wo<strong>men</strong></strong> earn significantly morethan <strong>men</strong>. Among business support workers<strong>and</strong> administrative assistants, for example, <strong>men</strong>Do Wo<strong>men</strong> Prefer Lower-Paying Jobs?In a court case against <strong>the</strong> grocery chain Lucky S<strong>to</strong>res,both sides agreed that female s<strong>to</strong>re employees earned,on average, between 76 percent <strong>and</strong> 82 percent <strong>of</strong> whatmale employees earned due <strong>to</strong> sex segregation in jobs.The plaintiffs argued that <strong>the</strong> differences were <strong>the</strong> resul<strong>to</strong>f discrimination, while <strong>the</strong> employer argued that <strong>the</strong>differences resulted from <strong>wo<strong>men</strong></strong>’s <strong>and</strong> <strong>men</strong>’s choices.The plaintiffs said that <strong>wo<strong>men</strong></strong> were regularly placed injobs that paid less than jobs given <strong>to</strong> male co-workers,even though <strong>the</strong>re was no significant difference between<strong>the</strong>ir education <strong>and</strong> experience. Lucky S<strong>to</strong>res said itassigned <strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong> <strong>to</strong> different jobs becausethat’s what <strong>the</strong> employees preferred. For example, <strong>one</strong>manager testified that <strong>wo<strong>men</strong></strong> were more interested incash register work, <strong>and</strong> <strong>men</strong> were more interested infloor work.Ultimately, <strong>the</strong> judge ruled that “sex discrimination was<strong>the</strong> st<strong>and</strong>ard operating procedure at Lucky with respect<strong>to</strong> place<strong>men</strong>t, promotion, move<strong>men</strong>t <strong>to</strong> full-time positions,<strong>and</strong> <strong>the</strong> allocation <strong>of</strong> additional hours” (Stenderv. Lucky S<strong>to</strong>res, 803 F. Supp. 259, N.D. Cal. 1992). Thecase illustrates how discrimination can play a role in <strong>the</strong>explained portion <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong> when employers mistakenlyassume that female employees prefer lower-paidpositions traditionally held by <strong>wo<strong>men</strong></strong> <strong>and</strong>—intentionallyor not—place <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> in<strong>to</strong> different jobs,ensuring higher <strong>pay</strong> for <strong>men</strong> <strong>and</strong> lower <strong>pay</strong> for <strong>wo<strong>men</strong></strong>.Occupational segregation is likely affected by both individualchoices <strong>and</strong> discrimination (Blau & Kahn, 2007).<strong>and</strong> <strong>wo<strong>men</strong></strong> had similar <strong>earnings</strong>. Among teachers,however, <strong>wo<strong>men</strong></strong> earned 89 percent <strong>of</strong> what<strong>men</strong> earned. Likewise, in business <strong>and</strong> manage<strong>men</strong><strong>to</strong>ccupations, <strong>wo<strong>men</strong></strong> earned 86 percent <strong>of</strong>what <strong>men</strong> did. The two occupational categorieswith <strong>the</strong> largest <strong>pay</strong> <strong>gap</strong>s were sales occupations,in which <strong>wo<strong>men</strong></strong> earned just 77 percen<strong>to</strong>f what <strong>the</strong>ir male peers earned, <strong>and</strong> “o<strong>the</strong>roccupations,” a category that includes mainlyblue-collar jobs, such as food service, farming,<strong>and</strong> construction occupations, in which <strong>wo<strong>men</strong></strong>earned just 68 percent <strong>of</strong> what <strong>men</strong> did.Among full-time workers, <strong>men</strong> report workingmore hours than <strong>wo<strong>men</strong></strong> do.Although full-time work is typically considered<strong>to</strong> be 40 hours per week, full-time workersreported working considerably different numbers<strong>of</strong> hours. Some full-time workers reportedworking as few as 35 hours a week, <strong>and</strong> o<strong>the</strong>rsreported that <strong>the</strong>y worked more than 50 hoursa week. One <strong>year</strong> out <strong>of</strong> <strong>college</strong>, <strong>wo<strong>men</strong></strong> infull-time jobs reported working an average <strong>of</strong>43 hours per week; <strong>men</strong> reported working anaverage <strong>of</strong> 45 hours per week. Half <strong>of</strong> full-timeemployed<strong>men</strong> reported working more than 40hours per week compared with <strong>one</strong>-third <strong>of</strong> fulltime-employed<strong>wo<strong>men</strong></strong>. Yet when we compare<strong>the</strong> <strong>earnings</strong> <strong>of</strong> <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> who reportedworking <strong>the</strong> same number <strong>of</strong> hours, <strong>men</strong> stillearned more than <strong>wo<strong>men</strong></strong> did (see figure 9).Among workers who reported working 40 hoursper week, <strong>wo<strong>men</strong></strong> earned 84 percent <strong>of</strong> what <strong>men</strong>earned. Similarly, among those who reportedworking 45 hours per week <strong>and</strong> those whoreported working 50 hours per week, <strong>wo<strong>men</strong></strong>earned just 82 percent <strong>of</strong> what <strong>men</strong> earned. Genderdifferences in hours worked explains part,but not all, <strong>of</strong> <strong>the</strong> gender <strong>pay</strong> <strong>gap</strong>.18 Graduating <strong>to</strong> a Pay Gap


FIGURE 9. Average Annual Earnings One Year<strong>after</strong> College Graduation, by Hours Worked<strong>and</strong> Gender$50,000$40,000$30,000$20,000$10,0000$34,10984%40 hours$40,474$37,61782%45 hours$46,127Hours worked per weekWo<strong>men</strong>$39,83950 hours$48,445Note: This table shows average <strong>earnings</strong> among 2007–08 bachelor’s degree recipients employedfull time in 2009 <strong>and</strong> excludes graduates older than age 35 at bachelor’s degree completion.Source: Authors’ analysis <strong>of</strong> U.S. Depart<strong>men</strong>t <strong>of</strong> Education, National Center for EducationStatistics, 2008–09 Baccalaureate <strong>and</strong> Beyond Longitudinal Study data.Men82%xx%= Wo<strong>men</strong>’s <strong>earnings</strong> as apercentage <strong>of</strong> <strong>men</strong>’s <strong>earnings</strong>Wo<strong>men</strong> <strong>and</strong> <strong>men</strong> work in different economicsec<strong>to</strong>rs.Wo<strong>men</strong> <strong>and</strong> <strong>men</strong> tend <strong>to</strong> work in somewhatdifferent parts <strong>of</strong> <strong>the</strong> economy. In 2009, amongfull-time workers <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong> <strong>graduation</strong>,<strong>the</strong> majority <strong>of</strong> both <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong>worked in <strong>the</strong> for-pr<strong>of</strong>it sec<strong>to</strong>r. Men were morelikely than <strong>wo<strong>men</strong></strong> (70 percent compared with52 percent) <strong>to</strong> work in this sec<strong>to</strong>r. Wo<strong>men</strong>, on<strong>the</strong> o<strong>the</strong>r h<strong>and</strong>, were more likely than <strong>men</strong> <strong>to</strong>work in <strong>the</strong> nonpr<strong>of</strong>it sec<strong>to</strong>r (19 percent comparedwith 7 percent). Compared with <strong>the</strong>ir malepeers, <strong>wo<strong>men</strong></strong> were also more likely <strong>to</strong> work for<strong>the</strong> govern<strong>men</strong>t (18 percent compared with13 percent), <strong>and</strong> less likely <strong>to</strong> be in <strong>the</strong> military(1 percent compared with 3 percent).Earnings varied by sec<strong>to</strong>r, as did <strong>pay</strong> <strong>gap</strong>s. Earningswere highest overall in <strong>the</strong> military <strong>and</strong>for-pr<strong>of</strong>it sec<strong>to</strong>rs. Earnings were highest for<strong>wo<strong>men</strong></strong> in <strong>the</strong> military, where only 1 percent <strong>of</strong><strong>wo<strong>men</strong></strong> worked. Men’s <strong>earnings</strong> were high in <strong>the</strong>military as well. As a result, <strong>the</strong>re was no <strong>pay</strong> <strong>gap</strong>in <strong>the</strong> military (average <strong>earnings</strong> were $44,325).Men earned significantly more than <strong>wo<strong>men</strong></strong>earned in <strong>the</strong> for-pr<strong>of</strong>it <strong>and</strong> govern<strong>men</strong>t sec<strong>to</strong>rs,where more than three-quarters <strong>of</strong> recent<strong>college</strong> graduates who were working full timewere employed. Among full-time workers in <strong>the</strong>for-pr<strong>of</strong>it sec<strong>to</strong>r, <strong>wo<strong>men</strong></strong> earned just 80 percen<strong>to</strong>f what <strong>the</strong>ir male counterparts earned ($35,841compared with $44,638); among govern<strong>men</strong>tworkers, <strong>wo<strong>men</strong></strong> earned 86 percent <strong>of</strong> what <strong>the</strong>irmale colleagues earned ($34,848 compared with$40,613). 4 In <strong>the</strong> nonpr<strong>of</strong>it sec<strong>to</strong>r, as in <strong>the</strong> military,<strong>the</strong>re was no significant <strong>pay</strong> <strong>gap</strong> between<strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>graduation</strong> (average<strong>earnings</strong> were $35,015).Gender differences in occupation, hours worked,<strong>and</strong> employ<strong>men</strong>t sec<strong>to</strong>r help explain a portion <strong>of</strong><strong>the</strong> <strong>pay</strong> <strong>gap</strong>. One <strong>year</strong> <strong>after</strong> <strong>graduation</strong>, <strong>wo<strong>men</strong></strong>typically were working in lower-<strong>pay</strong>ing “<strong>wo<strong>men</strong></strong>’sjobs,” <strong>and</strong> <strong>men</strong> were typically working in higher<strong>pay</strong>ing“<strong>men</strong>’s jobs.” Men reported workinglonger hours than <strong>wo<strong>men</strong></strong> did <strong>and</strong> were morelikely <strong>to</strong> work in <strong>the</strong> higher-<strong>pay</strong>ing for-pr<strong>of</strong>it <strong>and</strong>military sec<strong>to</strong>rs. Yet when we control for each<strong>of</strong> <strong>the</strong>se fac<strong>to</strong>rs, we find that <strong>men</strong> still tended<strong>to</strong> earn more than <strong>the</strong>ir female peers earned. Inmany occupational categories, <strong>wo<strong>men</strong></strong> earnedless than <strong>the</strong>ir male peers did <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong><strong>graduation</strong>. When <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> worked<strong>the</strong> same number <strong>of</strong> hours, <strong>men</strong> earned morethan <strong>wo<strong>men</strong></strong> did. When <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> workedin <strong>the</strong> same economic sec<strong>to</strong>r, <strong>men</strong> typically4These findings are consistent with o<strong>the</strong>r research showing that <strong>the</strong> <strong>pay</strong> <strong>gap</strong> between <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> is wider in <strong>the</strong> private sec<strong>to</strong>r than in<strong>the</strong> public sec<strong>to</strong>r (Miller, 2009; U.S. Govern<strong>men</strong>t Accountability Office, 2009).AAUW19


earned more than <strong>wo<strong>men</strong></strong> earned. Employ<strong>men</strong>taffects <strong>earnings</strong>, but gender differences in occupation,hours worked, <strong>and</strong> o<strong>the</strong>r employ<strong>men</strong>tfac<strong>to</strong>rs do not fully explain <strong>the</strong> <strong>pay</strong> <strong>gap</strong>.Demographics <strong>and</strong> personal characteristicsdo little <strong>to</strong> explain <strong>the</strong> <strong>pay</strong> <strong>gap</strong>.A number <strong>of</strong> demographic fac<strong>to</strong>rs <strong>and</strong> personalcharacteristics are relevant <strong>to</strong> <strong>earnings</strong> but dolittle <strong>to</strong> help explain <strong>the</strong> <strong>pay</strong> <strong>gap</strong> between <strong>men</strong><strong>and</strong> <strong>wo<strong>men</strong></strong>. These include race <strong>and</strong> ethnicity,geographical location, age, <strong>and</strong> marital status.Differences in parenting responsibilitiesbetween mo<strong>the</strong>rs <strong>and</strong> fa<strong>the</strong>rs are <strong>of</strong>ten citedas a major fac<strong>to</strong>r behind <strong>the</strong> <strong>pay</strong> <strong>gap</strong>. Indeed,becoming a mo<strong>the</strong>r can negatively affect <strong>wo<strong>men</strong></strong>’s<strong>earnings</strong>, while becoming a fa<strong>the</strong>r does nottypically have <strong>the</strong> same effect (Correll et al.,2007). Wo<strong>men</strong> are more likely than <strong>men</strong> <strong>to</strong> leave<strong>the</strong> workforce or reduce <strong>the</strong>ir work hours <strong>after</strong><strong>the</strong>y have children, thus reducing <strong>the</strong>ir <strong>earnings</strong>(AAUW Educational Foundation, 2007).Research has found that even among full-timeworkers, mo<strong>the</strong>rs face an <strong>earnings</strong> penalty in<strong>the</strong> workforce compared with <strong>wo<strong>men</strong></strong> withoutchildren (Correll et al., 2007).In this analysis, we examined <strong>the</strong> <strong>pay</strong> <strong>gap</strong>between <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> at a time in life beforemost respondents had children. Among thosewho did have children, though, both <strong>men</strong> <strong>and</strong><strong>wo<strong>men</strong></strong> earned more than <strong>the</strong>ir counterpartswithout children. Mo<strong>the</strong>rs tended <strong>to</strong> be olderthan o<strong>the</strong>r female graduates, which may accountin part for <strong>the</strong>ir relatively higher levels <strong>of</strong> <strong>pay</strong>.Not surprisingly, among full-time workers jus<strong>to</strong>ne <strong>year</strong> <strong>after</strong> <strong>college</strong> <strong>graduation</strong>, <strong>the</strong> <strong>pay</strong> <strong>gap</strong>cannot be explained by mo<strong>the</strong>rhood.FIGURE 10. The Pay Gap One Year <strong>after</strong>College Graduation, with <strong>and</strong> withoutExplana<strong>to</strong>ry VariablesWo<strong>men</strong>’s average <strong>earnings</strong> as a percentage<strong>of</strong> <strong>men</strong>’s average <strong>earnings</strong>10080604020082%Pay <strong>gap</strong> overallamong <strong>college</strong>graduates93%Pay <strong>gap</strong> among<strong>college</strong> graduates<strong>after</strong> controllingfor fac<strong>to</strong>rs found<strong>to</strong> affect <strong>earnings</strong>Notes: The chart shows <strong>the</strong> <strong>pay</strong> <strong>gap</strong> among 2007–08 bachelor’s degree recipients in 2009. Thecolumn on <strong>the</strong> left shows <strong>the</strong> <strong>pay</strong> <strong>gap</strong> among all bachelor’s degree recipients working full-time <strong>one</strong><strong>year</strong> <strong>after</strong> <strong>college</strong> <strong>graduation</strong>. The column on <strong>the</strong> right shows <strong>the</strong> <strong>pay</strong> <strong>gap</strong> among bachelor’s degreerecipients working full time or in multiple jobs <strong>after</strong> controlling for fac<strong>to</strong>rs found <strong>to</strong> affect <strong>earnings</strong>.Fac<strong>to</strong>rs controlled for include occupation, economic sec<strong>to</strong>r, hours worked per week, multiple jobs,months unemployed since <strong>graduation</strong>, undergraduate GPA, undergraduate major, undergraduateinstitution sec<strong>to</strong>r, institution selectivity, age, region <strong>of</strong> residence, <strong>and</strong> marital status. This analysisexcludes graduates older than age 35 at bachelor’s degree completion.Source: Authors’ analysis <strong>of</strong> U.S. Depart<strong>men</strong>t <strong>of</strong> Education, National Center for EducationStatistics, 2008–09 Baccalaureate <strong>and</strong> Beyond Longitudinal Study data.One-third <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong> is unexplained.Although education <strong>and</strong> employ<strong>men</strong>t fac<strong>to</strong>rsexplain a substantial part <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong>, <strong>the</strong>y donot explain it in its entirety. Regression analysisallows us <strong>to</strong> analyze <strong>the</strong> effect <strong>of</strong> multiple fac<strong>to</strong>rson <strong>earnings</strong> at <strong>the</strong> same time. One might expectthat when you compare <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> with<strong>the</strong> same major, who attended <strong>the</strong> same type <strong>of</strong>institution <strong>and</strong> worked <strong>the</strong> same hours in <strong>the</strong>same job in <strong>the</strong> same economic sec<strong>to</strong>r, <strong>the</strong> <strong>pay</strong><strong>gap</strong> would disappear. But this is not what ouranalysis shows. Our regression analysis findsthat just over <strong>one</strong>-third <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong> cannotbe explained by any <strong>of</strong> <strong>the</strong>se fac<strong>to</strong>rs <strong>and</strong> appears20 Graduating <strong>to</strong> a Pay Gap


<strong>to</strong> be attributable <strong>to</strong> gender al<strong>one</strong>. That is, <strong>after</strong>we controlled for all <strong>the</strong> fac<strong>to</strong>rs included in ouranalysis that we found <strong>to</strong> affect <strong>earnings</strong>, <strong>college</strong>educated<strong>wo<strong>men</strong></strong> working full time earned anunexplained 7 percent less than <strong>the</strong>ir male peersdid <strong>one</strong> <strong>year</strong> out <strong>of</strong> <strong>college</strong> (see figure 10; see als<strong>of</strong>igure 13 in <strong>the</strong> appendix).One <strong>year</strong> out <strong>of</strong> <strong>college</strong>, <strong>the</strong> <strong>pay</strong> <strong>gap</strong> isalready established.Wo<strong>men</strong> <strong>and</strong> <strong>men</strong> who earned bachelor’s degreesin 2007–08 attended similar kinds <strong>of</strong> <strong>college</strong>s.On average, <strong>wo<strong>men</strong></strong> earned slightly higher grades.Most <strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong> entered full-time employ<strong>men</strong>t<strong>after</strong> <strong>graduation</strong>. Yet <strong>one</strong> <strong>year</strong> later, <strong>wo<strong>men</strong></strong>working full time earned only 82 percent <strong>of</strong> what<strong>the</strong>ir male colleagues earned. Gender segregationin undergraduate majors <strong>and</strong> <strong>the</strong> subsequentsegregation <strong>of</strong> <strong>the</strong> workforce partly explain <strong>the</strong><strong>pay</strong> <strong>gap</strong>, but a <strong>pay</strong> <strong>gap</strong> also exists within fields <strong>of</strong>study <strong>and</strong> occupations. Indeed, <strong>after</strong> accountingfor fac<strong>to</strong>rs known <strong>to</strong> affect wages, about <strong>one</strong>third<strong>of</strong> <strong>the</strong> <strong>gap</strong> remains unexplained. In 2009,among full-time workers <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong><strong>graduation</strong>, <strong>wo<strong>men</strong></strong> earned an unexplained7 percent less than <strong>men</strong> did.AAUW21


Chapter 3High Student Loan Debt BurdenFor many female <strong>college</strong> graduates, an immediateoutcome <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong> is high student lo<strong>and</strong>ebt burden. “Student loan debt burden” isdefined as <strong>the</strong> percentage <strong>of</strong> <strong>earnings</strong> devoted <strong>to</strong>student loan <strong>pay</strong><strong>men</strong>ts. 5 A high student loan debtburden is an indica<strong>to</strong>r that re<strong>pay</strong><strong>men</strong>t may createhardship. Graduates with a high student lo<strong>and</strong>ebt burden are less likely <strong>to</strong> buy a home, get acar loan, or even make rent <strong>pay</strong><strong>men</strong>ts (Choy &Li, 2005). Most research indicates that a <strong>college</strong>degree <strong>pay</strong>s for itself over time. But as <strong>college</strong>costs rise <strong>and</strong> more students borrow morem<strong>one</strong>y <strong>to</strong> finance <strong>the</strong>ir education, a surprisinglylarge <strong>and</strong> growing percentage <strong>of</strong> students—especially<strong>wo<strong>men</strong></strong>—are <strong>graduating</strong> with high levels <strong>of</strong>student loan debt burden.Student loan debt affects both <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong>,but it is especially <strong>one</strong>rous for many <strong>wo<strong>men</strong></strong>.Among 2007–08 <strong>college</strong> graduates, <strong>wo<strong>men</strong></strong><strong>and</strong> <strong>men</strong> typically borrowed similar amounts<strong>of</strong> m<strong>one</strong>y <strong>to</strong> finance <strong>the</strong>ir educations—about$20,000. 6 The median monthly student loan<strong>pay</strong><strong>men</strong>t for both <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> <strong>one</strong> <strong>year</strong> <strong>after</strong><strong>graduation</strong> was just over $200. Re<strong>pay</strong>ing studentloans is likely <strong>to</strong> present a hardship for more<strong>wo<strong>men</strong></strong> than <strong>men</strong> for two reasons. First <strong>and</strong>foremost, <strong>wo<strong>men</strong></strong> earn less than <strong>men</strong> earn <strong>one</strong><strong>year</strong> <strong>after</strong> <strong>graduation</strong>. Because <strong>wo<strong>men</strong></strong> earn less,student loan re<strong>pay</strong><strong>men</strong>ts make up a larger portion<strong>of</strong> <strong>the</strong>ir <strong>earnings</strong>. Second, more <strong>wo<strong>men</strong></strong> havestudent loan debt, in part because <strong>the</strong>y are morelikely <strong>to</strong> go <strong>to</strong> <strong>college</strong> than <strong>men</strong> are. In 2007–08,<strong>wo<strong>men</strong></strong> earned 57 percent <strong>of</strong> <strong>the</strong> bachelor’sdegrees awarded. Wo<strong>men</strong> are also more likelythan <strong>men</strong> <strong>to</strong> borrow m<strong>one</strong>y for school: Among2007–08 <strong>college</strong> graduates, 68 percent <strong>of</strong> <strong>wo<strong>men</strong></strong>borrowed m<strong>one</strong>y for <strong>college</strong> compared with5The shorter term “debt burden” has also been used <strong>to</strong> describe student loan <strong>pay</strong><strong>men</strong>t as a percentage <strong>of</strong> <strong>earnings</strong> (see American Council onEducation, 2004). Here, we use “student loan debt burden” <strong>to</strong> emphasize that <strong>the</strong> debt burden <strong>to</strong> which we refer is only <strong>the</strong> debt burdenrelated <strong>to</strong> loans from public <strong>and</strong> private sources (excluding family <strong>and</strong> friends) <strong>to</strong> <strong>pay</strong> for undergraduate education. Many recent graduatescarry o<strong>the</strong>r types <strong>of</strong> debt. Student loan debt is only a part <strong>of</strong> <strong>the</strong> debt picture for many graduates.6We present <strong>the</strong> median amount borrowed because it indicates <strong>the</strong> amount a typical student borrows. Half <strong>of</strong> borrowers borrowed more than$20,000, <strong>and</strong> half borrowed less. The mean, or average, amount borrowed is also a useful measure. The mean is influenced by those who borrowvery high amounts; <strong>the</strong>refore, it may give an inflated sense <strong>of</strong> <strong>the</strong> amount students typically borrow. In terms <strong>of</strong> averages, <strong>college</strong> studentsborrowed around $24,000 <strong>to</strong> <strong>pay</strong> for <strong>college</strong>, <strong>and</strong> <strong>wo<strong>men</strong></strong> borrowed slightly more than <strong>men</strong> did.AAUW23


63 percent <strong>of</strong> <strong>men</strong>. Because <strong>of</strong> <strong>the</strong>se fac<strong>to</strong>rs, highstudent loan debt burden is a particularly widespreadproblem among <strong>wo<strong>men</strong></strong>.Higher percentages <strong>of</strong> recent <strong>college</strong> graduates—especially<strong>wo<strong>men</strong></strong>—were <strong>pay</strong>ing a sizeableportion <strong>of</strong> <strong>the</strong>ir <strong>earnings</strong> <strong>to</strong>ward student lo<strong>and</strong>ebt in 2009 than in 2001. Among full-timeworkers who were re<strong>pay</strong>ing <strong>the</strong>ir loans in 2009,nearly half (47 percent) <strong>of</strong> <strong>wo<strong>men</strong></strong> <strong>one</strong> <strong>year</strong> <strong>after</strong><strong>college</strong> <strong>graduation</strong> were <strong>pay</strong>ing more than 8 percen<strong>to</strong>f <strong>the</strong>ir <strong>earnings</strong> <strong>to</strong>ward student loan debt,compared with 38 percent in 2001. Among <strong>men</strong>,39 percent were devoting more than 8 percent <strong>of</strong><strong>the</strong>ir <strong>earnings</strong> <strong>to</strong>ward student loan debt in 2009,compared with 31 percent in 2001. Among thosewith very high student loan debt burden, weagain see a gender difference. In 2009, <strong>one</strong> <strong>year</strong>out <strong>of</strong> <strong>college</strong>, 20 percent <strong>of</strong> <strong>wo<strong>men</strong></strong> working fulltime <strong>and</strong> re<strong>pay</strong>ing <strong>the</strong>ir loans were <strong>pay</strong>ing morethan 15 percent <strong>of</strong> <strong>the</strong>ir <strong>earnings</strong> <strong>to</strong>ward studentloan debt, compared with 15 percent <strong>of</strong> <strong>men</strong> (seefigure 11).How much student loan debt is <strong>to</strong>o much? Formany <strong>year</strong>s, analyses <strong>of</strong> student debt considereda student loan debt burden <strong>of</strong> 8 percen<strong>to</strong>r less (i.e., <strong>pay</strong>ing 8 percent or less <strong>of</strong> <strong>one</strong>’s<strong>earnings</strong> <strong>to</strong>ward student loan debt) manageable<strong>and</strong> anything more than 8 percent unmanageable(Greiner, 1996; Scherschel, 1998; AmericanCouncil on Education, 2004). More recentanalysis suggests that <strong>the</strong>re is no single percentagebeyond which student loan debt is unmanageable,as borrowers with higher <strong>earnings</strong> canafford <strong>to</strong> devote a higher proportion <strong>of</strong> <strong>the</strong>ir<strong>earnings</strong> <strong>to</strong> debt re<strong>pay</strong><strong>men</strong>t without sacrificingbasic expenditures (Baum & Schwartz, 2006).FIGURE 11. Student Loan Debt Burden One Year<strong>after</strong> College Graduation, by Year <strong>and</strong> Gender100%80%60%40%20%0%8% 1 11% 1, 2 15%23%28% 224% 169%62%61%Men Wo<strong>men</strong>Men Wo<strong>men</strong>2001 2009Share <strong>of</strong> <strong>earnings</strong> devoted <strong>to</strong> student loan <strong>pay</strong><strong>men</strong>tsMore than 15% 9–15% 1–8%Notes: Student loan debt burden is <strong>the</strong> percentage <strong>of</strong> <strong>earnings</strong> devoted <strong>to</strong> student loan <strong>pay</strong><strong>men</strong>ts.This chart shows student loan debt burden among 1999–2000 <strong>and</strong> 2007–08 bachelor’s degreerecipients who were making non-zero <strong>pay</strong><strong>men</strong>ts on <strong>the</strong>ir student loans <strong>and</strong> were employed fulltime <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>graduation</strong>. This analysis excludes graduates older than age 35 at bachelor’sdegree completion. Percentages may not add up <strong>to</strong> 100 because <strong>of</strong> rounding.Source: Authors’ analysis <strong>of</strong> U.S. Depart<strong>men</strong>t <strong>of</strong> Education, National Center for EducationStatistics, 2000–01 <strong>and</strong> 2008–09 Baccalaureate <strong>and</strong> Beyond Longitudinal Study data.1Percentages are not significantly different for <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> (p < 0.05, two-tailed t-test).2Before rounding, <strong>the</strong>se numbers add up <strong>to</strong> 38 percent.20%27% 1For a typical recent graduate, however, <strong>the</strong> 8 percentguideline provides a fairly close estimate<strong>of</strong> manageable student loan debt burden. Weestimate that a typical woman working fulltime <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong> <strong>graduation</strong> in 2009could reasonably afford <strong>to</strong> devote 7.8 percen<strong>to</strong>f her $33,753 annual <strong>earnings</strong> <strong>to</strong> student loan<strong>pay</strong><strong>men</strong>ts. We estimate that her typical malecounterpart, who made $39,985 a <strong>year</strong>, couldreasonably afford <strong>to</strong> devote 8.9 percent <strong>of</strong> his<strong>earnings</strong> <strong>to</strong> student loan <strong>pay</strong><strong>men</strong>ts. In 2001, <strong>the</strong>comparable numbers were 9.5 percent for <strong>men</strong>53%24 Graduating <strong>to</strong> a Pay Gap


Estimating Manageable Student Loan Debt Burden for a Typical Man or WomanWhen estimating manageable student loan debt burden(MSLDB), we based our calculation on <strong>the</strong> formula <strong>the</strong>U.S. federal govern<strong>men</strong>t uses <strong>to</strong> determine eligibilityfor federal student loan <strong>pay</strong><strong>men</strong>t reductions through <strong>the</strong>Income Based Re<strong>pay</strong><strong>men</strong>t (IBR) program (U.S. Depart<strong>men</strong><strong>to</strong>f Education, Federal Student Aid, 2012). IBR currentlysets <strong>the</strong> threshold for eligibility at 15 percent <strong>of</strong> discretionaryincome, where discretionary income is income minus150 percent <strong>of</strong> <strong>the</strong> federal poverty level. IBR’s thresholdfor eligibility is soon scheduled <strong>to</strong> drop <strong>to</strong> 10 percent <strong>of</strong>discretionary income. IBR considers only federal studentloans when determining eligibility for loan <strong>pay</strong><strong>men</strong>treductions; we considered not only federal student loansbut also student loans from private sources, states, <strong>and</strong><strong>college</strong>s <strong>and</strong> universities. Among 2007–08 graduates,federal loans made up about 70 percent <strong>of</strong> <strong>the</strong> <strong>to</strong>tal studentloan amount borrowed by a typical borrower. Because weconsider nonfederal as well as federal loans, we approximateMSLDB using 15 percent <strong>of</strong> discretionary incomera<strong>the</strong>r than <strong>the</strong> 10 percent <strong>of</strong> discretionary income <strong>to</strong> whichIBR’s threshold is soon scheduled <strong>to</strong> drop.Our formula isMSLDB = Maximum Reasonable Annual Student LoanPay<strong>men</strong>t (MRASLP)/Annual Earnings, where MRASLP =15% [Annual Earnings – 150% (poverty level)].We used median <strong>earnings</strong> <strong>to</strong> provide an estimate <strong>of</strong> manageablestudent loan debt burden for a “typical” man <strong>and</strong> a“typical” woman <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong> <strong>graduation</strong>.In 2009, for individuals working full time with a family size<strong>of</strong> <strong>one</strong> <strong>and</strong> who lived in <strong>the</strong> 48 contiguous United States orWashing<strong>to</strong>n, D.C., <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong> <strong>graduation</strong>,MSLDB for a typical man =15% [$39,985 – 150%($10,830)]/$39,985 = 8.9%MSLDB for a typical woman =15% [$33,753 – 150%($10,830)]/$33,753 = 7.8%In 2001, for individuals working full time with a family size<strong>of</strong> <strong>one</strong> <strong>and</strong> who lived in <strong>the</strong> 48 contiguous United States orWashing<strong>to</strong>n, D.C., <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong> <strong>graduation</strong>,MSLDB for a typical man =15% [$35,000 – 150%($8,590)]/$35,000 = 9.5%MSLDB for a typical woman =15% [$29,900 – 150%($8,590)]/$29,900 = 8.5%.For poverty guidelines by <strong>year</strong> <strong>and</strong> household size, seeU.S. Depart<strong>men</strong>t <strong>of</strong> Health <strong>and</strong> Human Services (2012).<strong>and</strong> 8.5 percent for <strong>wo<strong>men</strong></strong>. (See <strong>the</strong> sidebar fora description <strong>of</strong> <strong>the</strong> method we used <strong>to</strong> estimatemanageable student loan debt burden.)This analysis takes a conservative approach inestimating debt burden among recent studentloan borrowers. For <strong>one</strong> thing, we look only atstudent loan debt. Many recent <strong>college</strong> graduatesalso have o<strong>the</strong>r forms <strong>of</strong> debt, such as creditcard debt <strong>and</strong> car loans. Second, we include only<strong>pay</strong><strong>men</strong>ts on student loans obtained from <strong>the</strong>federal govern<strong>men</strong>t, states, <strong>college</strong>s, universities,banks, <strong>and</strong> o<strong>the</strong>r private lenders. In addition <strong>to</strong><strong>the</strong>se student loans, some recent graduates haveborrowed m<strong>one</strong>y for <strong>college</strong> from family <strong>and</strong>friends, <strong>and</strong> <strong>the</strong>se loans are not included. ManyAAUW25


FIGURE 12. Share <strong>of</strong> Wo<strong>men</strong> <strong>and</strong> Men withHigh Student Loan Debt Burden One Year <strong>after</strong>College Graduation, by Year60%50%40%30%20%10%0%27%38% 39%2001 200953%Wo<strong>men</strong>Notes: Student loan debt burden is <strong>the</strong> percentage <strong>of</strong> <strong>earnings</strong> devoted <strong>to</strong> student loan<strong>pay</strong><strong>men</strong>ts.This chart shows <strong>the</strong> share <strong>of</strong> 1999–2000 <strong>and</strong> 2007–08 bachelor’s degree recipientsworking full time <strong>and</strong> making non-zero <strong>pay</strong><strong>men</strong>ts on <strong>the</strong>ir student loans <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>graduation</strong>who were <strong>pay</strong>ing a higher proportion <strong>of</strong> <strong>the</strong>ir <strong>earnings</strong> <strong>to</strong>ward student loan debts than a typicalindividual could reasonably afford. We estimate that, in 2009, a typical man could reasonablyafford <strong>to</strong> devote 8.9 percent <strong>of</strong> his <strong>earnings</strong> <strong>to</strong> student loan <strong>pay</strong><strong>men</strong>ts, <strong>and</strong> a typical woman couldreasonably afford <strong>to</strong> devote 7.8 percent <strong>of</strong> her <strong>earnings</strong> <strong>to</strong> student loan <strong>pay</strong><strong>men</strong>ts. In 2001, thosepercentages are estimated at 9.5 percent <strong>and</strong> 8.5 percent for <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong>, respectively. Thisanalysis excludes graduates older than age 35 at bachelor’s degree completion.Source: Authors’ analysis <strong>of</strong> U.S. Depart<strong>men</strong>t <strong>of</strong> Education, National Center for EducationStatistics, 2000–01 <strong>and</strong> 2008–09 Baccalaureate <strong>and</strong> Beyond Longitudinal Study data.parents have also borrowed m<strong>one</strong>y <strong>to</strong> finance<strong>the</strong>ir children’s education. Our analysis does notinclude <strong>pay</strong><strong>men</strong>ts on any <strong>of</strong> <strong>the</strong>se o<strong>the</strong>r debts.Finally, this analysis includes only students whocompleted <strong>the</strong>ir bachelor’s degrees <strong>and</strong> wereworking full time <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>graduation</strong>.Student loan debt <strong>of</strong>ten causes even greaterdifficulty for those who dropped out <strong>of</strong> <strong>college</strong>Menbefore finishing <strong>the</strong>ir degrees (Nguyen, 2012) orwho graduated but were ei<strong>the</strong>r unemployed orworking part time <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>graduation</strong>.Among full-time workers re<strong>pay</strong>ing <strong>the</strong>ir loans<strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong> <strong>graduation</strong> in 2009, jus<strong>to</strong>ver half <strong>of</strong> <strong>wo<strong>men</strong></strong> (53 percent) <strong>and</strong> 39 percen<strong>to</strong>f <strong>men</strong> were <strong>pay</strong>ing a greater percentage <strong>of</strong> <strong>the</strong>ir<strong>earnings</strong> <strong>to</strong>ward student loan debt than what weestimate a typical woman or man could reasonablyafford <strong>to</strong> <strong>pay</strong>. By comparison, in 2001, 38percent <strong>of</strong> <strong>wo<strong>men</strong></strong> <strong>and</strong> just over <strong>one</strong> in four <strong>men</strong>(27 percent) in <strong>the</strong> same group were <strong>pay</strong>ing agreater percentage <strong>of</strong> <strong>the</strong>ir <strong>earnings</strong> <strong>to</strong>ward studentloan debt than was affordable for a typicalwoman or man (see figure 12). 7An increasingly large proportion <strong>of</strong> <strong>men</strong> <strong>and</strong><strong>wo<strong>men</strong></strong> are experiencing high student loan debtburden <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong> <strong>graduation</strong>. Thisanalysis understates <strong>the</strong> full magnitude <strong>of</strong> <strong>the</strong>overall debt problem among recent <strong>college</strong> graduatesbecause it considers only student loan debtamong those working full time <strong>one</strong> <strong>year</strong> <strong>after</strong><strong>college</strong> <strong>graduation</strong>. Assessing <strong>the</strong> full magnitude<strong>of</strong> <strong>the</strong> debt problem among recent <strong>college</strong> graduatesis a subject for ano<strong>the</strong>r study. Here, we showthat even when we look only at student loan debtfacing recent <strong>college</strong> graduates fortunate enough<strong>to</strong> be working full time, we have a significant <strong>and</strong>growing problem. Wo<strong>men</strong> are especially likely<strong>to</strong> have high student loan debt burden, largelybecause <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong>.7Not all recent graduates <strong>pay</strong>ing a high percentage <strong>of</strong> <strong>the</strong>ir <strong>earnings</strong> <strong>to</strong>ward student loan debt were necessarily experiencing economic hardship.Some <strong>of</strong> those with a high student loan debt burden may have been earning more m<strong>one</strong>y than is typical <strong>and</strong>, <strong>the</strong>refore, could more easilydevote a higher percentage <strong>of</strong> <strong>the</strong>ir <strong>earnings</strong> <strong>to</strong>ward student loan debt. Likewise, some <strong>of</strong> those with a high student loan debt burden mayhave had o<strong>the</strong>r resources <strong>to</strong> lessen <strong>the</strong> actual burden <strong>of</strong> <strong>the</strong> debt. Still, <strong>the</strong> gender difference in percentages <strong>of</strong> <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> who were<strong>pay</strong>ing more than was typically affordable is noteworthy. Similarly, figures 11 <strong>and</strong> 12 both illustrate that student loan <strong>pay</strong><strong>men</strong>ts constitute asizeable portion <strong>of</strong> more <strong>college</strong> graduates’ budgets in 2009 than in 2001.26 Graduating <strong>to</strong> a Pay Gap


Chapter 4Narrowing <strong>the</strong> Pay GapRemedies for <strong>the</strong> <strong>pay</strong> <strong>gap</strong> have been put forward,but imple<strong>men</strong>tation remains slow <strong>and</strong> not alwayssteady. What can employers, public policy makers,<strong>and</strong> individuals do <strong>to</strong> narrow <strong>the</strong> <strong>pay</strong> <strong>gap</strong>?Employers’ <strong>pay</strong> policies have far-reachingconsequences.Employers have a great deal <strong>of</strong> discretion in <strong>pay</strong>decisions. Recent research shows that managersmay substitute procedural fairness for actual fair<strong>pay</strong> for <strong>wo<strong>men</strong></strong>, consciously or unconsciouslycreating <strong>and</strong> maintaining <strong>the</strong> <strong>pay</strong> <strong>gap</strong> (Belliveau,2012). Many supervisors make decisions abouthiring, <strong>pay</strong>, <strong>and</strong> promotion with little guidance.As long as employers do not discriminate on <strong>the</strong>basis <strong>of</strong> characteristics such as gender, race, <strong>and</strong>age <strong>and</strong> follow <strong>the</strong> minimum wage rules, <strong>the</strong>yare free <strong>to</strong> <strong>of</strong>fer as much or as little as <strong>the</strong>y like.Employees rarely know if <strong>the</strong>y are paid fairlybecause <strong>the</strong>y do not know what <strong>the</strong>ir colleaguesor o<strong>the</strong>rs in <strong>the</strong> industry earn.Make <strong>pay</strong> systems transparent.Nearly half <strong>of</strong> all workers nationally are ei<strong>the</strong>rforbidden or strongly discouraged from discussing<strong>the</strong>ir <strong>pay</strong> with colleagues. Pay secrecy ismuch more common in <strong>the</strong> private sec<strong>to</strong>r, where61 percent <strong>of</strong> employees are ei<strong>the</strong>r discouragedor prohibited from discussing wage <strong>and</strong> salaryinformation. Only 14 percent <strong>of</strong> public-sec<strong>to</strong>remployees are discouraged or prohibited fromdiscussing <strong>pay</strong> (Hegewisch et al., 2011).This greater transparency may be related <strong>to</strong> <strong>the</strong>greater gender <strong>pay</strong> equity found in <strong>the</strong> publicsec<strong>to</strong>r, including <strong>the</strong> federal govern<strong>men</strong>t. Arecent report found that among federal workers,<strong>wo<strong>men</strong></strong> earned 89 percent <strong>of</strong> what <strong>men</strong> earned,compared with 78 percent in <strong>the</strong> workforce as awhole (U.S. Govern<strong>men</strong>t Accountability Office,2009). Federal workers can easily see how <strong>the</strong>irsalaries compare with those <strong>of</strong> o<strong>the</strong>rs at <strong>the</strong>irgrade level <strong>and</strong> geographic location because <strong>the</strong>U.S. Office <strong>of</strong> Personnel Manage<strong>men</strong>t makesAAUW27


public <strong>the</strong> salary <strong>and</strong> wage range for each level<strong>of</strong> federal worker <strong>and</strong> additional locality <strong>pay</strong>for areas where <strong>the</strong> cost <strong>of</strong> living is higher. Thisinformation is easily accessible on <strong>the</strong> Internet(www.opm.gov/oca/12tables/indexGS.asp).Increased transparency about <strong>pay</strong> can alsoincrease job satisfaction among employees.Transparency does not mean that every<strong>one</strong> mustknow every<strong>one</strong> else’s salary. Ra<strong>the</strong>r, simply bymaking salary ranges for specific job titles available<strong>to</strong> all employees, employers provide workerswith information that puts wages in context <strong>and</strong>helps <strong>the</strong>m assess <strong>the</strong> fairness <strong>of</strong> <strong>the</strong>ir <strong>earnings</strong>.Employers may be hesitant <strong>to</strong> provide salaryranges for fear that many employees will ask formore m<strong>one</strong>y. Transparency in <strong>pay</strong> scales increasesa sense <strong>of</strong> fairness among workers, however, <strong>and</strong>evidence indicates that employees’ performance<strong>and</strong> morale are better when <strong>the</strong>y believe <strong>the</strong>iremployer is fair (Kim, 2009; Cohen-Charash &Spec<strong>to</strong>r, 2001; Colquitt et al., 2001).Conduct a <strong>pay</strong> equity study.In addition <strong>to</strong> increasing transparency in <strong>pay</strong>systems, employers can create fair workplacesby assessing <strong>the</strong> <strong>pay</strong> <strong>gap</strong> within <strong>the</strong>ir organizations<strong>and</strong> taking steps <strong>to</strong> address any gender <strong>pay</strong>differences <strong>the</strong>y find. The state <strong>of</strong> Minnesotaprovides a good example. Public-sec<strong>to</strong>r employersin Minnesota are required <strong>to</strong> conduct a <strong>pay</strong>equity study every few <strong>year</strong>s <strong>and</strong> eliminate <strong>pay</strong>disparities between female-dominated <strong>and</strong> maledominatedjobs that require comparable levels <strong>of</strong>expertise. Employers use a job evaluation <strong>to</strong>ol <strong>to</strong>compare <strong>the</strong> complexity <strong>of</strong> issues encountered,<strong>the</strong> depth <strong>and</strong> breadth <strong>of</strong> knowledge needed,<strong>the</strong> nature <strong>of</strong> interpersonal contacts required,<strong>and</strong> <strong>the</strong> physical working conditions. This allowsemployers <strong>to</strong> identify jobs—for example, deliveryvan drivers <strong>and</strong> clerk typists—that, despitebeing different, require similar levels <strong>of</strong> knowledge<strong>and</strong> responsibility. An analysis <strong>the</strong>n compareswages for predominantly female jobs withthose <strong>of</strong> predominantly male jobs <strong>of</strong> comparableskill levels. If <strong>the</strong> results show that <strong>wo<strong>men</strong></strong> areconsistently paid less than <strong>men</strong> are paid forjobs requiring similar levels <strong>of</strong> knowledge <strong>and</strong>responsibility, <strong>the</strong> employer makes <strong>the</strong> necessarysalary adjust<strong>men</strong>ts (Minnesota Manage<strong>men</strong>t <strong>and</strong>Budget, 2012).Good public policies are critical <strong>to</strong> <strong>pay</strong>equity.The govern<strong>men</strong>t has a role <strong>to</strong> play in both eliminating<strong>the</strong> <strong>pay</strong> <strong>gap</strong> <strong>and</strong> alleviating <strong>the</strong> burden<strong>of</strong> student loan debt. As we describe in chapter3, <strong>wo<strong>men</strong></strong> are more likely <strong>to</strong> experience highstudent loan debt burden, largely because <strong>of</strong> <strong>the</strong><strong>pay</strong> <strong>gap</strong>. What can <strong>the</strong> govern<strong>men</strong>t do <strong>to</strong> helpreduce student loan debt burden <strong>and</strong> narrow <strong>the</strong><strong>pay</strong> <strong>gap</strong>?Address <strong>the</strong> burden <strong>of</strong> student loan debt.Protect Pell grants. One way <strong>to</strong> help slow <strong>the</strong>growing burden <strong>of</strong> higher education debt is <strong>to</strong>protect <strong>and</strong> fund <strong>the</strong> federal Pell Grant Program,which provides financial assistance <strong>to</strong> studentswith demonstrated need. Since Pell grants are,as <strong>the</strong> name implies, grants <strong>and</strong> not loans, <strong>the</strong>ydo not add <strong>to</strong> student loan debt <strong>and</strong> help reduce<strong>the</strong> need <strong>to</strong> borrow. Despite relatively recentincreases in <strong>the</strong> maximum grant, its currentpurchasing power is <strong>the</strong> lowest in <strong>the</strong> grant’shis<strong>to</strong>ry: less than <strong>one</strong>-third <strong>of</strong> what it costs <strong>to</strong>attend a public four-<strong>year</strong> <strong>college</strong> or university asan in-state student. AAUW supports increasinggrant levels <strong>and</strong> ensuring that eligibility for Pellgrants is not eroded.28 Graduating <strong>to</strong> a Pay Gap


Ensure that borrowers are well informed. Forstudents who must borrow <strong>to</strong> finance <strong>the</strong>ir education,Congress can take action <strong>to</strong> ensure that<strong>the</strong>y are well informed about <strong>the</strong>ir borrowingoptions. It is critical that students exhaust <strong>the</strong>irfederal grant <strong>and</strong> loan options before taking onrisky private student loans. Private student loanstypically have uncapped variable rates that arehighest for those with <strong>the</strong> weakest credit his<strong>to</strong>ries.Even fixed-rate private loans usually sethigher rates for those who can least afford <strong>the</strong>m.Private loans also lack <strong>the</strong> consumer protections<strong>and</strong> flexible re<strong>pay</strong><strong>men</strong>t options that comewith federal student loans. Borrowers may onlyrealize <strong>the</strong> unfavorable terms that accompanyprivate loans when <strong>the</strong>y enter re<strong>pay</strong><strong>men</strong>t or hithard times.Although <strong>the</strong> annual volume <strong>of</strong> new private loanshas declined substantially from <strong>the</strong> 2007–08peak, students are still taking out billions <strong>of</strong>dollars in new private loans every <strong>year</strong>. At some<strong>college</strong>s, private loans—despite being <strong>one</strong> <strong>of</strong><strong>the</strong> riskiest ways <strong>to</strong> <strong>pay</strong> for <strong>college</strong>—accountfor a majority <strong>of</strong> <strong>the</strong>ir graduates’ debt (Projec<strong>to</strong>n Student Debt, 2011b). About half <strong>of</strong> studentswho <strong>to</strong>ok out private student loans in 2007–08could have borrowed more in federal studentloans than <strong>the</strong>y actually did (Project on StudentDebt, 2011a). A bill before Congress, <strong>the</strong> KnowBefore You Owe Act, would require students <strong>to</strong>be counseled on federal aid eligibility as well as<strong>the</strong> different terms <strong>and</strong> conditions <strong>of</strong> federal <strong>and</strong>private student loans before <strong>the</strong> lender issues aprivate loan. This type <strong>of</strong> disclosure is importantfor helping students make <strong>the</strong> most informeddecisions when <strong>the</strong>y must borrow.Increase awareness <strong>of</strong> student loan reliefprograms. The U.S. Depart<strong>men</strong>t <strong>of</strong> Education’sIncome-Based Re<strong>pay</strong><strong>men</strong>t (IBR) program is animportant, underused <strong>to</strong>ol that provides relieffor <strong>college</strong> graduates with high student loan debtburden. IBR caps federal student loan <strong>pay</strong><strong>men</strong>tsat a manageable level—as low as $0—based onan individual’s income <strong>and</strong> family size. It alsoprovides a light at <strong>the</strong> end <strong>of</strong> <strong>the</strong> tunnel forthose who are seriously overburdened by studentloan debt by forgiving any remaining debt<strong>after</strong> 25 <strong>year</strong>s <strong>of</strong> <strong>pay</strong><strong>men</strong>ts (or as few as 10 <strong>year</strong>sif an individual works for a public or nonpr<strong>of</strong>itemployer). AAUW encourages <strong>the</strong> Depart<strong>men</strong><strong>to</strong>f Education <strong>to</strong> increase awareness <strong>of</strong> IBR <strong>and</strong>make <strong>the</strong> application process as user-friendlyas possible. Because <strong>wo<strong>men</strong></strong> are more likely <strong>to</strong>experience high student loan debt burden, IBRcan be especially useful <strong>to</strong> <strong>the</strong>m.Treat private student loans like o<strong>the</strong>r privateloans. While IBR <strong>and</strong> related programs can helpkeep federal student loan <strong>pay</strong><strong>men</strong>ts manageablefor many borrowers, some still find <strong>the</strong>mselvesoverwhelmed by <strong>the</strong>ir debt. Student loan debtis not discharged in bankruptcy like many o<strong>the</strong>rtypes <strong>of</strong> debt. Since 2005, private student loanshave been treated just as harshly in bankruptcyas federal student loans, even though privateloans are not a form <strong>of</strong> student aid. AAUWsupports passage <strong>of</strong> <strong>the</strong> Private Student LoanBankruptcy Fairness Act, which would remedypart <strong>of</strong> <strong>the</strong> problem by allowing private studentloans <strong>to</strong> be discharged in bankruptcy like similartypes <strong>of</strong> unsecured consumer debt, such as creditcards <strong>and</strong> <strong>pay</strong>day loans, helping borrowers insevere financial distress.Until such proposals <strong>to</strong> streng<strong>the</strong>n protectionsfor private student loan borrowers become law,students <strong>and</strong> graduates have a new resource in<strong>the</strong> Consumer Financial Protection Bureau’sstudent loan ombudsman, who can help borrowersnavigate <strong>the</strong>ir student loan re<strong>pay</strong><strong>men</strong>tAAUW29


options <strong>and</strong> file complaints. AAUW encourages<strong>the</strong> Consumer Financial Protection Bureau <strong>to</strong>use its full authority <strong>to</strong> protect consumers fromabuses by private student lenders, servicers, <strong>and</strong>collection agencies.Eliminate <strong>the</strong> <strong>pay</strong> <strong>gap</strong>.Federal <strong>and</strong> state laws can help ensure fair <strong>pay</strong>for all employees. The Equal Pay Act <strong>of</strong> 1963prohibits employers from discriminating on <strong>the</strong>basis <strong>of</strong> sex by compensating workers differentlyfor jobs that require equal skill, effort, <strong>and</strong>responsibility. The federal Equal Employ<strong>men</strong>tOpportunity Commission (EEOC) enforcesboth <strong>the</strong> Equal Pay Act <strong>and</strong> Title VII <strong>of</strong> <strong>the</strong> CivilRights Act <strong>of</strong> 1964, which prohibits discriminationin employ<strong>men</strong>t on <strong>the</strong> basis <strong>of</strong> race, religion,national origin, <strong>and</strong> sex. Thous<strong>and</strong>s <strong>of</strong> chargeshave been brought against employers with <strong>the</strong>selaws, resulting in millions <strong>of</strong> dollars in awards<strong>and</strong> settle<strong>men</strong>ts.The Lilly Ledbetter Fair Pay Act, passed in 2009,clarifies that <strong>the</strong> 180-day statute <strong>of</strong> limitationsfor filing an equal <strong>pay</strong> lawsuit for <strong>pay</strong> discriminationresets with each new discrimina<strong>to</strong>ry <strong>pay</strong>check.This measure is a narrow fix that returnedlegal practices <strong>and</strong> EEOC policies <strong>to</strong> what <strong>the</strong>ywere before <strong>the</strong> U.S. Supreme Court issued itsproblematic 2007 decision in Ledbetter v. Good<strong>year</strong>Tire & Rubber—nothing more, nothing less.Legislative measures that have been pendingin Congress for several <strong>year</strong>s could improveboth enforce<strong>men</strong>t <strong>of</strong> <strong>pay</strong> equity laws <strong>and</strong> publicawareness <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong> itself. Key among<strong>the</strong>se measures is <strong>the</strong> Paycheck Fairness Act(S. 797/H.R. 1519), a comprehensive bill <strong>and</strong> amuch-needed update <strong>to</strong> <strong>the</strong> Equal Pay Act <strong>of</strong>1963. It would create incentives for employers<strong>to</strong> follow <strong>the</strong> law, empower <strong>wo<strong>men</strong></strong> <strong>to</strong> negotiatefor equal <strong>pay</strong>, <strong>and</strong> streng<strong>the</strong>n federal outreach<strong>and</strong> enforce<strong>men</strong>t efforts. Passed by <strong>the</strong> House inJanuary 2009 with a bipartisan majority, <strong>the</strong> PaycheckFairness Act was narrowly defeated on aprocedural vote in <strong>the</strong> Senate in November 2010.The bill was reintroduced in <strong>the</strong> 112th Congress<strong>and</strong> unfortunately failed in procedural votes insummer 2012, this time in both <strong>the</strong> Senate <strong>and</strong><strong>the</strong> House. AAUW remains vigilant in urgingCongress <strong>to</strong> support this legislation.Equal <strong>pay</strong> laws provide protection againstdiscrimina<strong>to</strong>ry practices by employers, butlitigation is an action <strong>of</strong> last resort <strong>and</strong> can beprohibitively expensive. In 2011, <strong>the</strong> SupremeCourt refused <strong>to</strong> allow a class-action suit againstWal-Mart, <strong>the</strong> nation’s largest private employer,<strong>to</strong> proceed, saying that <strong>the</strong> size <strong>of</strong> <strong>the</strong> group <strong>of</strong>female employees alleging <strong>pay</strong> discriminationwas <strong>to</strong>o large (Wal-Mart v. Dukes). This decisionmakes it much more difficult for <strong>wo<strong>men</strong></strong> <strong>to</strong>b<strong>and</strong> <strong>to</strong>ge<strong>the</strong>r <strong>to</strong> challenge companywide <strong>pay</strong>discrimination. Without <strong>the</strong> option <strong>to</strong> participatein class-action lawsuits, many deservingplaintiffs find it financially infeasible <strong>to</strong> pursue a<strong>pay</strong> discrimination lawsuit. As discussed above,employers can <strong>and</strong> should take steps <strong>to</strong> address<strong>the</strong> <strong>pay</strong> <strong>gap</strong> within <strong>the</strong>ir organizations <strong>to</strong> prevent<strong>the</strong> need for sex discrimination lawsuits in <strong>the</strong>first place.Individual choices make a difference.A problem as long-st<strong>and</strong>ing <strong>and</strong> widespread as<strong>the</strong> <strong>pay</strong> <strong>gap</strong> cannot be solved by <strong>the</strong> actions <strong>of</strong>individual <strong>wo<strong>men</strong></strong> al<strong>one</strong>. Wo<strong>men</strong> cannot choose<strong>to</strong> avoid <strong>the</strong> <strong>pay</strong> <strong>gap</strong>, but <strong>the</strong>y can make choicesthat enhance <strong>the</strong>ir earning potential.30 Graduating <strong>to</strong> a Pay Gap


Choose your <strong>college</strong> major carefully.An individual’s <strong>college</strong> major has lifelong financialimplications. Our analysis finds that engineering,health care fields, <strong>and</strong> computer <strong>and</strong>information sciences are some <strong>of</strong> <strong>the</strong> best-<strong>pay</strong>ingmajors for <strong>wo<strong>men</strong></strong> <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>graduation</strong>.O<strong>the</strong>r analysis has shown that <strong>the</strong>se are some<strong>of</strong> <strong>the</strong> best-<strong>pay</strong>ing majors throughout a lifetimeas well (Carnevale, Strohl, & Mel<strong>to</strong>n, 2011).Wo<strong>men</strong> are already well represented in healthcare fields, but not all health care fields <strong>pay</strong> <strong>the</strong>same. Choosing a higher-<strong>pay</strong>ing health caremajor like pharmaceutical sciences or nursingwill make achieving economic security easier for<strong>wo<strong>men</strong></strong>. Similarly, choosing a major in <strong>one</strong> <strong>of</strong> <strong>the</strong>typically “male” fields <strong>of</strong> engineering or computerscience tends <strong>to</strong> lead <strong>to</strong> higher <strong>earnings</strong>.Of course, future salary is not <strong>the</strong> only fac<strong>to</strong>r <strong>to</strong>consider when choosing a major. Research showsthat young <strong>wo<strong>men</strong></strong> tend <strong>to</strong> choose fields where<strong>the</strong>y see <strong>the</strong>mselves as helping o<strong>the</strong>rs, whileyoung <strong>men</strong> tend <strong>to</strong> be driven more by financialconsiderations <strong>and</strong> personal interests (Eccles,2011; Shauman, 2006). Fortunately, <strong>the</strong> highest<strong>pay</strong>ingmajors for <strong>wo<strong>men</strong></strong>—engineering, healthcare fields, <strong>and</strong> computer <strong>and</strong> information sciences—alsolay <strong>the</strong> groundwork for careers thathave great potential <strong>to</strong> help people. Wo<strong>men</strong> (<strong>and</strong><strong>men</strong>) who are motivated <strong>to</strong> help o<strong>the</strong>rs need notsacrifice <strong>the</strong>ir own economic security in pursui<strong>to</strong>f that worthy goal. It is possible <strong>to</strong> simultaneouslydo work that benefits society <strong>and</strong> earn agood salary. Considering <strong>the</strong> financial return ona <strong>college</strong> major along with o<strong>the</strong>r fac<strong>to</strong>rs will benefit<strong>wo<strong>men</strong></strong> <strong>and</strong> help reduce <strong>the</strong> gender <strong>pay</strong> <strong>gap</strong>.Research your intended occupation.It is equally important for young <strong>wo<strong>men</strong></strong> <strong>to</strong>prioritize <strong>earnings</strong> when <strong>the</strong>y choose a first job.An individual’s first salary provides <strong>the</strong> foundationon which future raises are based <strong>and</strong> <strong>earnings</strong>expectations are formed. Our analysis showsthat occupations like nursing; engineering; <strong>and</strong>math, computer, <strong>and</strong> physical science occupationsare <strong>the</strong> best-<strong>pay</strong>ing jobs for <strong>wo<strong>men</strong></strong> <strong>one</strong><strong>year</strong> out <strong>of</strong> <strong>college</strong>. These tend <strong>to</strong> be occupationsthat are well <strong>pay</strong>ing throughout a career aswell. Even though traditionally male jobs tend<strong>to</strong> <strong>pay</strong> more than traditionally female jobs do,eliminating <strong>the</strong> <strong>pay</strong> <strong>gap</strong> is not simply a matter <strong>of</strong>encouraging <strong>wo<strong>men</strong></strong> <strong>to</strong> pursue jobs in his<strong>to</strong>ricallymale fields, because <strong>the</strong>re is a wage <strong>gap</strong> in nearlyevery field (U.S. Depart<strong>men</strong>t <strong>of</strong> Labor, 2011a). Inaddition, some evidence shows that when fieldsattract more <strong>wo<strong>men</strong></strong>, wages fall (Levanon et al.,2009; Steinberg, 2001; Engl<strong>and</strong>, 1992). So if wetry <strong>to</strong> tackle <strong>the</strong> <strong>pay</strong> <strong>gap</strong> merely by encouraging<strong>wo<strong>men</strong></strong> <strong>to</strong> enter traditionally male fields, wewill probably fall short <strong>of</strong> achieving our goal. Itis important for young <strong>wo<strong>men</strong></strong> <strong>to</strong> research <strong>the</strong>likely future <strong>earnings</strong> associated with differen<strong>to</strong>ccupations when <strong>the</strong>y decide what job <strong>to</strong> pursue<strong>after</strong> <strong>graduation</strong>.Learn how <strong>to</strong> negotiate.Recent graduates can become <strong>the</strong>ir own bestadvocates by underst<strong>and</strong>ing what <strong>the</strong>y are worth<strong>and</strong> negotiating <strong>the</strong>ir first post-<strong>college</strong> salary <strong>and</strong>benefits. Many <strong>college</strong> <strong>wo<strong>men</strong></strong> are not aware <strong>of</strong><strong>the</strong> <strong>pay</strong> <strong>gap</strong>, how it affects <strong>the</strong>ir long-term financialfuture, or how critical <strong>the</strong>ir first salary <strong>after</strong><strong>college</strong> is <strong>to</strong> <strong>the</strong>ir finances over <strong>the</strong> long haul.Research has found that <strong>wo<strong>men</strong></strong> have learnedbehaviors <strong>and</strong> expectations that minimize <strong>the</strong>ir<strong>pay</strong>. Wo<strong>men</strong> tend <strong>to</strong> expect less <strong>and</strong> view <strong>the</strong>world as having fewer negotiable opportunities(Babcock & Laschever, 2003). At <strong>the</strong> same time,some evidence indicates that employers tend <strong>to</strong>penalize <strong>wo<strong>men</strong></strong> more than <strong>men</strong> for initiatingAAUW31


negotiations. Wo<strong>men</strong> are still expected <strong>to</strong> be“nice,” <strong>and</strong> <strong>wo<strong>men</strong></strong> who negotiate for a highersalary can be perceived negatively (Bowles et al.,2007). $tart $mart salary negotiation workshops,a collaboration between AAUW <strong>and</strong> <strong>the</strong> WAGEProject, provide <strong>college</strong> <strong>wo<strong>men</strong></strong> with <strong>the</strong> knowledge<strong>and</strong> skills <strong>the</strong>y need <strong>to</strong> negotiate salaries<strong>and</strong> benefits so that <strong>the</strong>y receive fair compensationwhen <strong>the</strong>y enter <strong>the</strong> job market.Seek out union jobs.Union membership is associated with higher<strong>earnings</strong> for <strong>wo<strong>men</strong></strong> <strong>and</strong> a smaller <strong>pay</strong> <strong>gap</strong>between <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong>. In 2011, <strong>wo<strong>men</strong></strong> unionmembers who were working full time had weeklymedian <strong>earnings</strong> <strong>of</strong> $879 compared with $653among <strong>the</strong>ir peers who were not representedby unions (U.S. Depart<strong>men</strong>t <strong>of</strong> Labor, 2012). Ino<strong>the</strong>r words, <strong>the</strong> average woman working fulltime who is represented by a union earns morethan 30 percent more than <strong>the</strong> average womanworking full time who is not represented by aunion. Wo<strong>men</strong> union members working full timeearned 90 percent <strong>of</strong> what <strong>the</strong>ir male counterpartsearned. In comparison, among full-timeworkers who were not represented by unions,<strong>wo<strong>men</strong></strong> earned just 82 percent <strong>of</strong> what <strong>men</strong>earned (authors’ analysis <strong>of</strong> U.S. Depart<strong>men</strong>t <strong>of</strong>Labor, 2012).Although overall union membership is declining,<strong>college</strong>-educated workers make up a higher proportion<strong>of</strong> union members <strong>to</strong>day than in decadespast. In 2008, nearly four out <strong>of</strong> 10 union memberswere <strong>college</strong> graduates compared with justtwo out <strong>of</strong> 10 in 1983 (Schmitt & Warner, 2009).And although <strong>men</strong> are still more likely <strong>to</strong> beunion members than <strong>wo<strong>men</strong></strong> are, <strong>wo<strong>men</strong></strong> representan increasing proportion <strong>of</strong> union members,approaching 50 percent (U.S. Depart<strong>men</strong><strong>to</strong>f Labor, 2012). In 2011, workers in education,training, <strong>and</strong> library occupations had <strong>the</strong> highestunionization rate at 37 percent. Teaching is <strong>one</strong><strong>of</strong> <strong>the</strong> most popular occupations for <strong>college</strong>-educated<strong>wo<strong>men</strong></strong> in which unions are strong.Union membership varies dramatically bygeographical area, with states on <strong>the</strong> east <strong>and</strong>west coasts much more likely <strong>to</strong> have high rates<strong>of</strong> union membership than states in <strong>the</strong> south.Union membership varies considerably by economicsec<strong>to</strong>r as well: In 2011, public-sec<strong>to</strong>r workershad a union membership rate more than fivetimes higher than that <strong>of</strong> private-sec<strong>to</strong>r workers(37 percent compared with 7 percent; U.S.Depart<strong>men</strong>t <strong>of</strong> Labor, 2012). Seeking out unionjobs can help <strong>wo<strong>men</strong></strong> achieve economic security.Recom<strong>men</strong>dationsHelp eliminate <strong>the</strong> <strong>pay</strong> <strong>gap</strong> <strong>and</strong> address <strong>the</strong> burden<strong>of</strong> student loan debt. Here are some stepsemployers, public policy makers, <strong>and</strong> individualscan take.Employers Increase transparency in <strong>pay</strong> systems. Create clear structures for evaluation. Conduct internal <strong>pay</strong> equity studies <strong>and</strong> takesteps <strong>to</strong> address any gender disparities. Learn about implicit biases at www.implicit.harvard.edu.Public policy makers Streng<strong>the</strong>n <strong>pay</strong> equity laws, <strong>and</strong> pass <strong>the</strong> PaycheckFairness Act (S. 797/H.R. 1519). Protect Pell grants. Ensure that student loan borrowers are wellinformed about <strong>the</strong>ir borrowing options <strong>and</strong><strong>the</strong> terms under which <strong>the</strong>y are borrowing.32 Graduating <strong>to</strong> a Pay Gap


Pass legislation that allows private studentloans <strong>to</strong> be discharged in <strong>the</strong> event <strong>of</strong>bankruptcy. Increase awareness <strong>of</strong> <strong>the</strong> Income-BasedRe<strong>pay</strong><strong>men</strong>t program for individuals overburdenedby student loan debt, <strong>and</strong> make <strong>the</strong>application process user-friendly. Protect student loan borrowers from abuses byprivate student lenders, servicers, <strong>and</strong> collectionagencies.High school <strong>and</strong> <strong>college</strong> students Educate yourself about typical salaries for various<strong>college</strong> majors. Consider future <strong>earnings</strong>when making <strong>the</strong> critical decision <strong>of</strong> <strong>college</strong>major. Your choice will affect <strong>the</strong> economicsecurity <strong>of</strong> you <strong>and</strong> your family throughoutyour lifetime. If you must borrow m<strong>one</strong>y for <strong>college</strong>, educateyourself about <strong>the</strong> terms associated withpublic <strong>and</strong> private student loans. Exhaust yourfederal borrowing options before consideringmore risky private student loans. Attend a $tart $mart salary negotiation workshopat a campus near you.Recent <strong>college</strong> graduates Consider future <strong>earnings</strong> when deciding whichjob <strong>to</strong> pursue. Like <strong>college</strong> major, occupationhas a significant effect on <strong>earnings</strong>. Your<strong>pay</strong>check affects many parts <strong>of</strong> your life, fromquality <strong>of</strong> life <strong>to</strong> your health <strong>to</strong> your retire<strong>men</strong>tsavings. Choose your occupation carefully. Know what your skills are worth in <strong>the</strong> labormarket. Be skeptical <strong>of</strong> salary <strong>of</strong>fers <strong>and</strong> <strong>pay</strong>raises, <strong>and</strong> negotiate if you believe your contributionsare worth more. Consider pursuing a job where you are representedby a union.Parents <strong>and</strong> teachers Help your children <strong>and</strong> students underst<strong>and</strong><strong>the</strong> financial implications <strong>of</strong> various fields<strong>of</strong> study <strong>and</strong> work so <strong>the</strong>y can make wellinformeddecisions.AAUW members <strong>and</strong> o<strong>the</strong>r activists Join <strong>the</strong> AAUW Action Network. Subscribe <strong>to</strong>receive e-mail notices <strong>to</strong> contact your members<strong>of</strong> Congress when <strong>pay</strong> equity issues arebeing considered on Capi<strong>to</strong>l Hill, find detailedinformation on legislation currently underconsideration, <strong>and</strong> write letters <strong>to</strong> <strong>the</strong> edi<strong>to</strong>r <strong>of</strong>your local paper. Get involved with AAUW’s $tart $mart salarynegotiation workshops, conducted in partnershipwith <strong>the</strong> WAGE Project. Recruit acampus <strong>to</strong> hold a $tart $mart salary negotiationworkshop, become a $tart $mart facilita<strong>to</strong>r,encourage your branch or community <strong>to</strong>sponsor a $tart $mart facilita<strong>to</strong>r training, orbecome a $tart $mart leader in your state. Use AAUW <strong>pay</strong> equity Programs in a Box<strong>to</strong> educate your community about equal <strong>pay</strong>issues <strong>and</strong> how <strong>to</strong> advocate for <strong>pay</strong> equity.ConclusionThe gender <strong>pay</strong> <strong>gap</strong> among <strong>college</strong> graduatesstarts immediately <strong>after</strong> <strong>graduation</strong>. Although<strong>men</strong> are less likely <strong>to</strong> attend <strong>college</strong> than <strong>wo<strong>men</strong></strong>are, <strong>men</strong> who do invest in a <strong>college</strong> educationhave higher <strong>earnings</strong> than <strong>the</strong> <strong>wo<strong>men</strong></strong> withwhom <strong>the</strong>y graduate beginning in <strong>the</strong> first <strong>year</strong>out <strong>of</strong> <strong>college</strong>. Among full-time workers just <strong>one</strong><strong>year</strong> <strong>after</strong> <strong>college</strong> <strong>graduation</strong> in 2009, <strong>wo<strong>men</strong></strong>AAUW33


earned 82 percent <strong>of</strong> what <strong>men</strong> earned. This <strong>pay</strong><strong>gap</strong> is not merely <strong>the</strong> result <strong>of</strong> <strong>wo<strong>men</strong></strong>’s choices.Among recent graduates who made <strong>the</strong> sameeducation <strong>and</strong> career choices, <strong>wo<strong>men</strong></strong> still earnedjust 93 percent <strong>of</strong> what <strong>men</strong> earned, leaving a7 percent unexplained <strong>pay</strong> <strong>gap</strong>. We know fromprevious research (AAUW Educational Foundation,2007) that <strong>the</strong> <strong>pay</strong> <strong>gap</strong> only grows larger as<strong>wo<strong>men</strong></strong> spend more <strong>year</strong>s in <strong>the</strong> workforce.The <strong>pay</strong> <strong>gap</strong> has implications from <strong>the</strong> mo<strong>men</strong>t<strong>college</strong> graduates throw <strong>the</strong>ir caps in <strong>the</strong> air.More than half <strong>of</strong> <strong>wo<strong>men</strong></strong> working full time <strong>and</strong>re<strong>pay</strong>ing <strong>the</strong>ir <strong>college</strong> loans <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong><strong>graduation</strong> are <strong>pay</strong>ing a higher percentage <strong>of</strong><strong>the</strong>ir <strong>earnings</strong> <strong>to</strong> student loan debt than a typicalwoman can reasonably afford. Lower <strong>earnings</strong>have an immediate effect <strong>after</strong> <strong>college</strong>, settingin<strong>to</strong> motion a chain <strong>of</strong> disparities that will follow<strong>wo<strong>men</strong></strong> throughout <strong>the</strong>ir careers. Wo<strong>men</strong> experience<strong>the</strong> consequences <strong>of</strong> <strong>the</strong> <strong>pay</strong> <strong>gap</strong> from<strong>the</strong>ir very first <strong>pay</strong>check <strong>to</strong> <strong>the</strong>ir very last SocialSecurity check. Nearly 50 <strong>year</strong>s <strong>after</strong> <strong>the</strong> passage<strong>of</strong> <strong>the</strong> Equal Pay Act <strong>of</strong> 1963, it is surprising that<strong>wo<strong>men</strong></strong> continue <strong>to</strong> earn less than <strong>men</strong> do, evenwhen <strong>the</strong>y make <strong>the</strong> same choices. Making equal<strong>pay</strong> for <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> a reality will requireaction on <strong>the</strong> part <strong>of</strong> employers, public policymakers, <strong>and</strong> individuals.34 Graduating <strong>to</strong> a Pay Gap


AppendixMethodology <strong>and</strong> Regression AnalysisDataThis report is based on <strong>the</strong> 2008–09 Baccalaureate<strong>and</strong> Beyond Longitudinal Study, by <strong>the</strong> NationalCenter for Education Statistics at <strong>the</strong> U.S.Depart<strong>men</strong>t <strong>of</strong> Education (U.S. Depart<strong>men</strong>t <strong>of</strong>Education, National Center for Education Statistics,2012). This study provides nationally representativeinformation on <strong>the</strong> lives <strong>of</strong> studentswho received a bachelor’s degree between July1, 2007, <strong>and</strong> June 30, 2008, <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong><strong>graduation</strong>.Sample selectionParticipants in <strong>the</strong> 2008–09 Baccalaureate <strong>and</strong>Beyond Longitudinal Study were chosen fromlists <strong>of</strong> enrolled students provided by institutionsparticipating in <strong>the</strong> 2007–08 NationalPostsecondary Student Aid Study. The sample <strong>of</strong>approximately 15,000 graduates who responded<strong>to</strong> <strong>the</strong> 2009 survey represents <strong>the</strong> 1.6 millionstudents who completed <strong>the</strong> require<strong>men</strong>ts fora baccalaureate degree between July 1, 2007,<strong>and</strong> June 30, 2008, in Title IV-eligible institutionsin <strong>the</strong> United States <strong>and</strong> Puer<strong>to</strong> Rico. Theweighted student response rate was 78 percent.To reduce within-sample variation in age <strong>and</strong>work experience—both fac<strong>to</strong>rs that affect labormarket outcomes—<strong>the</strong> sample in each <strong>year</strong> wasrestricted <strong>to</strong> those who were age 35 or youngerat <strong>the</strong> time <strong>of</strong> bachelor’s degree completion.To avoid <strong>the</strong> confounding influence <strong>of</strong> priorbachelor’s degrees, <strong>the</strong> sample in each <strong>year</strong> wasrestricted <strong>to</strong> those for whom <strong>the</strong> bachelor’sdegree that qualified <strong>the</strong>m for participation was<strong>the</strong>ir first bachelor’s degree. Prior certificates,licenses, associate degrees, or postsecondaryenroll<strong>men</strong>t without program completion werepermitted.Data collectionData collection included conducting a web- orteleph<strong>one</strong>-based student interview as well asobtaining administrative data from <strong>the</strong> U.S.Depart<strong>men</strong>t <strong>of</strong> Education’s financial aid records,information on postsecondary institutions in <strong>the</strong>United States from NCES’s Integrated PostsecondaryEducation Data System, SAT <strong>and</strong> ACTscores from students who were under 30 <strong>year</strong>sold, enroll<strong>men</strong>t data from <strong>the</strong> National StudentClearinghouse, <strong>and</strong> student transcripts fromdegree-granting institutions.AAUW35


Data analysisAfter data collection, <strong>the</strong> Baccalaureate <strong>and</strong>Beyond data were edited, imputed, <strong>and</strong> weighted.Logical edits were imposed <strong>to</strong> correct inconsistenciesin responses. When participants did notprovide responses or provided incorrect data<strong>to</strong> individual items, hot-deck imputation methodswere used, in which data from similar caseswithin <strong>the</strong> sample were applied <strong>to</strong> fill in missingvalues. Analysis weights were computed <strong>to</strong> correctfor oversampling <strong>and</strong> undersampling <strong>of</strong> specificpopulations (e.g., oversampling <strong>of</strong> graduatesmajoring in STEM fields). These weights allowanalysts <strong>to</strong> generate estimates that represent<strong>the</strong> national population, not just <strong>the</strong> sample <strong>of</strong>graduates who responded <strong>to</strong> <strong>the</strong> survey. In addition,because <strong>the</strong> Baccalaureate <strong>and</strong> Beyond sampleis clustered—that is, students were sampled onlyfrom sampled institutions—replicate weightswere computed <strong>to</strong> allow variance estimates thattake <strong>the</strong> nonr<strong>and</strong>om sample design in<strong>to</strong> account<strong>to</strong> be computed. Cataldi et al. (2011) provide fur<strong>the</strong>rinformation on <strong>the</strong> methods used in ga<strong>the</strong>ringdata for <strong>the</strong> 2008–09 Baccalaureate <strong>and</strong> BeyondLongitudinal Study.Descriptive statisticsThe bivariate analysis presented in this reportallows us <strong>to</strong> underst<strong>and</strong> <strong>the</strong> association betweenan individual variable <strong>and</strong> <strong>earnings</strong>. It also indicateswhe<strong>the</strong>r <strong>earnings</strong> for <strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong> aresignificantly different <strong>after</strong> controlling for <strong>one</strong>variable.Regression analysisRegression analysis allows us <strong>to</strong> assess <strong>the</strong> combinedeffect <strong>of</strong> all <strong>the</strong> fac<strong>to</strong>rs at <strong>the</strong> same timeas well as estimate <strong>the</strong> effect <strong>of</strong> gender on wagesnet <strong>of</strong> o<strong>the</strong>r fac<strong>to</strong>rs.In estimating <strong>the</strong> regression equation, wedefined <strong>the</strong> dependent variable as <strong>the</strong> naturallog <strong>of</strong> average annual <strong>earnings</strong>. The resultingregression coefficients can be interpreted as<strong>the</strong> percentage change in annual <strong>earnings</strong> for a<strong>one</strong>-unit change in <strong>the</strong> independent variable. For<strong>the</strong> regression, we specified an equation in whichlog annual <strong>earnings</strong> <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>graduation</strong>are a function <strong>of</strong> <strong>the</strong> employee’s characteristics,including job <strong>and</strong> workplace, employ<strong>men</strong>t experience<strong>and</strong> continuity, education <strong>and</strong> training,<strong>and</strong> demographic <strong>and</strong> personal characteristics.We selected model variables from those examinedin <strong>the</strong> bivariate analyses on <strong>the</strong> basis <strong>of</strong> preliminarytests <strong>of</strong> multicollinearity. We enteredmulticategorical variables in <strong>the</strong>ir entirety evenif some categories were not significant. Weanalyzed <strong>earnings</strong> for all full-time workers <strong>and</strong>those with multiple jobs. Variables that were notsignificant were not included in <strong>the</strong> final model(see figure 13 for a list <strong>of</strong> <strong>the</strong> variables used in <strong>the</strong>regression equation).We combined <strong>earnings</strong> for <strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong><strong>and</strong> used an independent variable <strong>of</strong> gender <strong>to</strong>see whe<strong>the</strong>r <strong>wo<strong>men</strong></strong>’s <strong>and</strong> <strong>men</strong>’s <strong>earnings</strong> werestatistically significantly different <strong>after</strong> controllingfor o<strong>the</strong>r choices <strong>and</strong> characteristics. Theregression coefficient <strong>of</strong> gender (see <strong>the</strong> <strong>to</strong>p linein figure 13) can be interpreted as <strong>the</strong> remainingpercentage difference in <strong>earnings</strong> when takingin<strong>to</strong> account <strong>the</strong> o<strong>the</strong>r variables in <strong>the</strong> model.This model shows that in 2009, <strong>wo<strong>men</strong></strong> workingfull time or multiple jobs <strong>one</strong> <strong>year</strong> <strong>after</strong> <strong>college</strong><strong>graduation</strong> earned, o<strong>the</strong>r things being equal, 6.6percent less than <strong>the</strong>ir male peers did. This estimatecontrols for differences in graduates’ occupation,economic sec<strong>to</strong>r, hours worked, employ<strong>men</strong>tstatus (having multiple jobs as opposed <strong>to</strong><strong>one</strong> full-time job), months unemployed since36 Graduating <strong>to</strong> a Pay Gap


FIGURE 13. Significant Coefficients from Regression <strong>of</strong> Log <strong>of</strong> Annual EarningsOne Year <strong>after</strong> College GraduationGender (female) -0.066Job <strong>and</strong> Workplace CharacteristicsOccupationO<strong>the</strong>r white collar 1 †Business <strong>and</strong> manage<strong>men</strong>t 0.246Life sciences —Math, computer, <strong>and</strong> physical science 0.323Engineering 0.464Nursing 0.401O<strong>the</strong>r health pr<strong>of</strong>essions —Education 0.174Social services —Sales —Business support —O<strong>the</strong>r 2 —Economic sec<strong>to</strong>rInstitution 3 -0.189For-pr<strong>of</strong>it —Nonpr<strong>of</strong>it †All govern<strong>men</strong>t 0.080Military 0.133Self-employed —O<strong>the</strong>r —Hours worked per week 0.075(Hours worked per week) squared -0.001Multiple jobs -0.071Months unemployed since <strong>graduation</strong> -0.012Education <strong>and</strong> TrainingUndergraduate GPA 0.000Undergraduate majorEducation †Computer science, engineering, science, technology, math 0.125General studies 0.104Social sciences 0.070Humanities —Health 0.266Business <strong>and</strong> o<strong>the</strong>r applied 0.106Institution sec<strong>to</strong>rPublic university †Private university —Public <strong>college</strong> —Private <strong>college</strong> -0.073For-pr<strong>of</strong>it four-<strong>year</strong> institution —Very selective institution 0.083Demographic <strong>and</strong> Personal CharacteristicsAge in bachelor’s completion <strong>year</strong> 0.018Region <strong>of</strong> residenceNor<strong>the</strong>ast †Midwest -0.108South -0.092West, outside U.S. -0.059Marital statusSingle, never married †Married/cohabiting 0.052Divorced/separated/widowed —Multiple R2 0.3646Notes: This table includes 2007–08 bachelor’s degree recipients employed in <strong>one</strong> full-time job or multiple jobs in 2009. Results shown are significant at p < 0.05. This analysis excludes graduates older than age 35 atbachelor’s degree completion.Source: Authors’ analysis <strong>of</strong> U.S. Depart<strong>men</strong>t <strong>of</strong> Education, National Center for Education Statistics, 2008–09 Baccalaureate <strong>and</strong> Beyond Longitudinal Study data.1The category “o<strong>the</strong>r white-collar occupations” includes social scientists <strong>and</strong> related workers (except clinical, counseling, <strong>and</strong> school psychologists); lawyers, judges, <strong>and</strong> related workers; education, training, <strong>and</strong> libraryoccupations (except primary, secondary, <strong>and</strong> special education school teachers); arts, design, entertain<strong>men</strong>t, sports, <strong>and</strong> media occupations (except commercial <strong>and</strong> industrial designers, fashion designers, <strong>and</strong> floraldesigners); social science research assistants; <strong>and</strong> law clerks.2The category “o<strong>the</strong>r occupations” includes dr<strong>after</strong>s; protective service occupations; food preparation- <strong>and</strong> serving-related occupations; personal care; service occupations (except supervisors, animal care <strong>and</strong> serviceworkers, <strong>and</strong> entertain<strong>men</strong>t attendants <strong>and</strong> related workers); farming, fishing, <strong>and</strong> forestry occupations; construction <strong>and</strong> extraction occupations; installation, maintenance, <strong>and</strong> repair occupations; production occupations;transportation <strong>and</strong> material moving occupations (except air transportation workers); military specific occupations; farm/ranch/o<strong>the</strong>r agricultural managers; farmers <strong>and</strong> ranchers; car<strong>to</strong>graphers <strong>and</strong> pho<strong>to</strong>grammetrists;surveyors; athletes <strong>and</strong> sports competi<strong>to</strong>rs; coaches <strong>and</strong> scouts; umpire/referee/o<strong>the</strong>r sports <strong>of</strong>ficials; <strong>and</strong> emergency medical technicians/paramedics.3”Institution,” in this case, is defined as <strong>the</strong> school from which respondents earned <strong>the</strong>ir bachelor’s degree.— Results not significant (p > 0.05).† Reference category for comparison.AAUW37


<strong>graduation</strong>, grade point average, undergraduatemajor, kind <strong>of</strong> institution attended, age, geographicalregion, <strong>and</strong> marital status.Statistical significanceAll gender differences reported in <strong>the</strong> text <strong>and</strong>figures are statistically significant (p < 0.05, twotailedt-test) unless o<strong>the</strong>rwise indicated.Employ<strong>men</strong>t statusThroughout <strong>the</strong> report, <strong>earnings</strong> are reportedfor full-time workers only. In figures in whichfull-time employ<strong>men</strong>t status is not indicated, weinclude all 2007–08 graduates. In <strong>the</strong> regressionanalysis, we include full-time workers as wellas those with multiple jobs. Hours worked perweek <strong>and</strong> having multiple jobs are both significantcoefficients in <strong>the</strong> regression analysis.Regression resultsThe regression analysis <strong>of</strong> <strong>earnings</strong> <strong>one</strong> <strong>year</strong> <strong>after</strong><strong>graduation</strong> for <strong>the</strong> combined sample <strong>of</strong> <strong>wo<strong>men</strong></strong><strong>and</strong> <strong>men</strong> shows a gender <strong>pay</strong> difference <strong>of</strong> 6.6percent, controlling for education <strong>and</strong> occupationalchoices as well as demographic <strong>and</strong> personalcharacteristics (see figure 13). That is, whenwe include all <strong>the</strong> selected job <strong>and</strong> workplace,education <strong>and</strong> training, <strong>and</strong> demographic <strong>and</strong>personal variables, <strong>wo<strong>men</strong></strong> earned 6.6 percentless in 2009 than <strong>men</strong> earned.Job <strong>and</strong> workplace characteristicsNot surprisingly, <strong>the</strong> regression results show tha<strong>to</strong>ccupation exerts a strong influence on <strong>earnings</strong>.Graduates have higher <strong>earnings</strong> when <strong>the</strong>ychoose business <strong>and</strong> manage<strong>men</strong>t occupations;math, computer, <strong>and</strong> physical science occupations;engineering; nursing; <strong>and</strong> education comparedwith o<strong>the</strong>r white-collar occupations. 8The regression results also show that sec<strong>to</strong>r <strong>of</strong><strong>the</strong> economy affects <strong>earnings</strong>. When we considerall <strong>the</strong> fac<strong>to</strong>rs <strong>to</strong>ge<strong>the</strong>r, <strong>one</strong> <strong>year</strong> out <strong>of</strong> <strong>college</strong>,individuals working in <strong>the</strong> govern<strong>men</strong>t or <strong>the</strong>military earned more than those working in <strong>the</strong>nonpr<strong>of</strong>it sec<strong>to</strong>r. Graduates working for <strong>the</strong>higher-education institution from which she orhe graduated earned less than those working in<strong>the</strong> nonpr<strong>of</strong>it sec<strong>to</strong>r.Hours worked per week significantly contributed<strong>to</strong> <strong>pay</strong>. Having multiple jobs <strong>and</strong> moremonths <strong>of</strong> unemploy<strong>men</strong>t were associated withlower <strong>earnings</strong>.Education <strong>and</strong> training characteristicsAlso not surprisingly, undergraduate majoraffects <strong>pay</strong>. Majoring in a health field, computerscience, engineering, science, technology, ormath was associated with higher <strong>pay</strong> comparedwith majoring in education. The same is true <strong>to</strong> alesser extent for graduates majoring in business,general studies, <strong>and</strong> social science. Attending aprivate <strong>college</strong> was associated with lower <strong>earnings</strong>,whereas attending a very selective institutionwas correlated with higher <strong>earnings</strong>.Age at <strong>the</strong> time <strong>of</strong> bachelor’s degree completionaffects <strong>earnings</strong> positively (for this sample,8The category “o<strong>the</strong>r white-collar occupations” includes social scientists <strong>and</strong> related workers (except clinical, counseling, <strong>and</strong> schoolpsychologists); lawyers, judges, <strong>and</strong> related workers; education, training, <strong>and</strong> library occupations (except primary, secondary, <strong>and</strong> specialeducation school teachers); arts, design, entertain<strong>men</strong>t, sports, <strong>and</strong> media occupations (except commercial <strong>and</strong> industrial designers, fashiondesigners, <strong>and</strong> floral designers); social science research assistants; <strong>and</strong> law clerks.38 Graduating <strong>to</strong> a Pay Gap


which included only recent graduates ages 35 <strong>and</strong>under), although <strong>the</strong> effect is small. Individualsliving in <strong>the</strong> nor<strong>the</strong>ast earn more than peopleliving in o<strong>the</strong>r parts <strong>of</strong> <strong>the</strong> country. Being marriedor cohabiting is also associated with higher<strong>earnings</strong>.SummaryOverall, <strong>the</strong> regression analysis <strong>of</strong> <strong>earnings</strong> <strong>one</strong><strong>year</strong> <strong>after</strong> <strong>graduation</strong> suggests that a 6.6 percentdifference in annual <strong>earnings</strong> remains between<strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong> <strong>after</strong> accounting for all variablesknown <strong>to</strong> affect <strong>earnings</strong>. This is referred <strong>to</strong> in<strong>the</strong> text as <strong>the</strong> “unexplained” wage <strong>gap</strong> between<strong>men</strong> <strong>and</strong> <strong>wo<strong>men</strong></strong>.AAUW39


BibliographyAmerican Association <strong>of</strong> University Wo<strong>men</strong>(AAUW). (2012). The simple truth about <strong>the</strong>gender <strong>pay</strong> <strong>gap</strong>. Washing<strong>to</strong>n, DC: Author.––––––. (2010). Why so few? Wo<strong>men</strong> in science,technology, engineering, <strong>and</strong> ma<strong>the</strong>matics, byC. Hill, C. Corbett, & A. St. Rose. Washing<strong>to</strong>n,DC: Author.AAUW Educational Foundation. (2007). Behind<strong>the</strong> <strong>pay</strong> <strong>gap</strong>, by J. G. Dey & C. Hill. Washing<strong>to</strong>n,DC: Author.American Council on Education. (2004). Debtburden: Re<strong>pay</strong>ing student debt. Issue brief.Washing<strong>to</strong>n, DC: Author.Babcock, L., & Laschever, S. (2003). Wo<strong>men</strong> don’task: Negotiation <strong>and</strong> <strong>the</strong> gender divide. Prince<strong>to</strong>n,NJ: Prince<strong>to</strong>n University Press.Baum, S., & Schwartz, S. (2006). How much debtis <strong>to</strong>o much? Defining benchmarks for manageablestudent debt. New York: The College Board.Belliveau, M. A. (2012). Engendering inequity?How social accounts create vs. merelyexplain unfavorable <strong>pay</strong> outcomes for<strong>wo<strong>men</strong></strong>. Organization Science, 23(4), 1154–74.Black, D. A., Havil<strong>and</strong>, A., S<strong>and</strong>ers, S. G., &Taylor, L. J. (2008). Gender wage disparitiesamong <strong>the</strong> highly educated. Human Resources,43, 630–59.Blau, F. D., & Kahn, L. M. (2007). The gender<strong>pay</strong> <strong>gap</strong>: Have <strong>wo<strong>men</strong></strong> g<strong>one</strong> as far as <strong>the</strong>ycan? Academy <strong>of</strong> Manage<strong>men</strong>t Perspectives,21(1), 7–23.––––––. (2006). The U.S. gender <strong>pay</strong> <strong>gap</strong> in <strong>the</strong>1990s: Slowing convergence. Industrial <strong>and</strong>Labor Relations Review, 60(1), 45–65.Bobbitt-Zeher, D. (2007). The gender income<strong>gap</strong> <strong>and</strong> <strong>the</strong> role <strong>of</strong> education. Sociology <strong>of</strong>Education, 80, 1–22.AAUW41


Bowles, H. R., Babcock, L., & Lai, L. (2007).Social incentives for gender differencesin <strong>the</strong> propensity <strong>to</strong> initiate negotiations:Sometimes it does hurt <strong>to</strong> ask. OrganizationalBehavior <strong>and</strong> Human Decision Processes 103,84–103.Broyles, P. (2009). The gender <strong>pay</strong> <strong>gap</strong> <strong>of</strong> STEMpr<strong>of</strong>essions in <strong>the</strong> United States. InternationalJournal <strong>of</strong> Sociology <strong>and</strong> Social Policy,29(5/6), 214–26.Carnevale, A. P., Rose, S. J., & Cheah, B. (2011).The <strong>college</strong> <strong>pay</strong><strong>of</strong>f: Education, occupations, lifetime<strong>earnings</strong>. Washing<strong>to</strong>n, DC: George<strong>to</strong>wnUniversity Center on Education <strong>and</strong> <strong>the</strong>Workforce.Carnevale, A. P., Smith, N., & Strohl, J. (2010).Help wanted: Projections <strong>of</strong> jobs <strong>and</strong> educationrequire<strong>men</strong>ts through 2018. Washing<strong>to</strong>n, DC:George<strong>to</strong>wn University Center on Education<strong>and</strong> <strong>the</strong> Workforce.Carnevale, A. P., Strohl, J., & Mel<strong>to</strong>n, M. (2011).What’s it worth? The economic value <strong>of</strong> <strong>college</strong>majors. Washing<strong>to</strong>n, DC: George<strong>to</strong>wnUniversity Center on Education <strong>and</strong> <strong>the</strong>Workforce.Cataldi, E. F., Green, C., Henke, R., Lew, T.,Woo, J., Shepherd, B., & Siegel, P. (2011).2008–09 baccalaureate <strong>and</strong> beyond longitudinalstudy (B&B:08/09): First look (NCES 2011-236).U.S. Depart<strong>men</strong>t <strong>of</strong> Education, NationalCenter for Education Statistics, Institute <strong>of</strong>Education Sciences. Washing<strong>to</strong>n, DC: U.S.Govern<strong>men</strong>t Printing Office.Charles, M., & Bradley, K. (2002). Equal butseparate? A cross-national study <strong>of</strong> sex segregationin higher education. American SociologicalReview, 67, 573–99.Charles, M., & Grusky, D. B. (2004). Occupationalghet<strong>to</strong>s: The worldwide segregation <strong>of</strong> <strong>wo<strong>men</strong></strong><strong>and</strong> <strong>men</strong>. Stanford, CA: Stanford UniversityPress.Choy, S. P., & Li, X. (2005). Debt burden: A comparison<strong>of</strong> 1992–93 <strong>and</strong> 1999–2000 bachelor’sdegree recipients a <strong>year</strong> <strong>after</strong> <strong>graduating</strong> (NCES2005–170). U.S. Depart<strong>men</strong>t <strong>of</strong> Education,National Center for Education Statistics.Washing<strong>to</strong>n, DC: U.S. Govern<strong>men</strong>t PrintingOffice.Cohen-Charash, Y., & Spec<strong>to</strong>r, P. E. (2001). Therole <strong>of</strong> justice in organizations: A metaanalysis.Organizational Behavior <strong>and</strong> HumanDecision Processes, 86, 278–321.Colquitt, J. A., Conlon, D. E., Wesson, M. J.,Porter, C. O., & Ng, K. Y. (2001). Justice at<strong>the</strong> millennium: A meta-analytic review <strong>of</strong>25 <strong>year</strong>s <strong>of</strong> organizational justice research.Journal <strong>of</strong> Applied Psychology, 86, 425–45.Correll, S. J., Benard, S., & Paik, I. (2007). Gettinga job: Is <strong>the</strong>re a mo<strong>the</strong>rhood penalty?American Journal <strong>of</strong> Sociology, 112(5), 1297–1339.DeNavas-Walt, C., Proc<strong>to</strong>r, B. D., & Smith, J.C. (2012). Income, poverty, <strong>and</strong> health insurancecoverage in <strong>the</strong> United States: 2011. U.S. CensusBureau, Current Population Reports.Washing<strong>to</strong>n, DC: U.S. Govern<strong>men</strong>t PrintingOffice.42 Graduating <strong>to</strong> a Pay Gap


Eagly, A. H., & Karau, S. J. (2002). Role congruity<strong>the</strong>ory <strong>of</strong> prejudice <strong>to</strong>ward female leaders.Psychological Review 109, 573–98.Eccles, J. S. (2011). Underst<strong>and</strong>ing educational<strong>and</strong> occupational choices. Journal<strong>of</strong> Social Issues, 67, 644–48. 10.1111/j.1540-4560.2011.01718.xEngl<strong>and</strong>, P. (1992). Comparable worth: Theories <strong>and</strong>evidence. New York: Aldine.Engl<strong>and</strong>, P., Allison, P., Li, S., Mark, N., Thompson,J., Budig, M. J., & Sun, H. (2007). Whyare some academic fields tipping <strong>to</strong>wardfemale? The sex composition <strong>of</strong> U.S. fields <strong>of</strong>doc<strong>to</strong>ral degree receipt, 1971–2002. Sociology<strong>of</strong> Education, 80(1), 23–42.Engl<strong>and</strong>, P., Allison, P., & Wu, Y. (2007). Doesbad <strong>pay</strong> cause occupations <strong>to</strong> feminize, doesfeminization reduce <strong>pay</strong>, <strong>and</strong> how can we tellwith longitudinal data? Social Science Research,36, 1237–56.Engl<strong>and</strong>, P., & Li, S. (2006). Desegregationstalled: The changing gender composition <strong>of</strong><strong>college</strong> majors, 1971–2002. Gender <strong>and</strong> Society20, 657–77.Equal Employ<strong>men</strong>t Opportunity Commission.(2012). Sex-based charges, FY 1997–FY2011.www.eeoc.gov/eeoc/statistics/enforce<strong>men</strong>t/sex.cfm.Goldin, C. D., & Katz, L. F. (2008). The racebetween education <strong>and</strong> technology. Cambridge,MA: Harvard University Press.Greiner, K. (1996). How much student loan debtis <strong>to</strong>o much? Journal <strong>of</strong> Student Financial Aid,26(1), 7–19.Hegewisch, A., Liepmann, H., Hayes, J., &Hartmann, H. (2010). Separate <strong>and</strong> not equal?Gender segregation in <strong>the</strong> labor market <strong>and</strong> <strong>the</strong>gender wage <strong>gap</strong>. Briefing paper (IWPR C377).Washing<strong>to</strong>n, DC: Institute for Wo<strong>men</strong>’sPolicy Research.Hegewisch, A., Williams, C., & Drago, R. (2011).Pay secrecy <strong>and</strong> wage discrimination. Washing<strong>to</strong>n,DC: Institute for Wo<strong>men</strong>’s PolicyResearch.Heilman, M. E.,Wallen, A. S., Fuchs, D., & Tamkins,M. M. (2004). Penalties for success:Reactions <strong>to</strong> <strong>wo<strong>men</strong></strong> who succeed at malegender-typed tasks. Journal <strong>of</strong> Applied Psychology,89, 416–27.Jagsi, R., Griffith, K. A., Stewart, A., Sambuco,D., DeCastro, R., & Ubel, P. A. (2012). Genderdifferences in <strong>the</strong> salaries <strong>of</strong> physicianresearchers. Journal <strong>of</strong> <strong>the</strong> American MedicalAssociation, 307(22), 2410–17.Jost, J. T., Rudman, L. A., Blair, I. V., Carney,D. R., Dasgupta, N., Glaser, J., & Hardin,C. D. (2009). The existence <strong>of</strong> implicit biasis beyond reasonable doubt: A refutation <strong>of</strong>ideological <strong>and</strong> methodological objections<strong>and</strong> executive summary <strong>of</strong> ten studies thatno manager should ignore. Research in OrganizationalBehavior, 29, 39–69.Joy, L. (2006). Occupational differences betweenrecent male <strong>and</strong> female <strong>college</strong> graduates.Economics <strong>of</strong> Education Review, 25, 221–31.AAUW43


––––––. (2000). Do <strong>college</strong>s shortchange<strong>wo<strong>men</strong></strong>? Gender differences in <strong>the</strong> transitionfrom <strong>college</strong> <strong>to</strong> work. Papers <strong>and</strong> proceedings<strong>of</strong> <strong>the</strong> 112th annual meeting <strong>of</strong> <strong>the</strong>American Economic Association. AmericanEconomic Review, 90(2), 471–5.Kim, H. (2009). Integrating organizationaljustice in<strong>to</strong> <strong>the</strong> relationship manage<strong>men</strong>t<strong>the</strong>ory. www.allacademic.com.Kim, M. (1999). Inertia <strong>and</strong> discrimination in <strong>the</strong>California state civil service. Industrial Relations,38(1), 46–68.Levanon, A., Engl<strong>and</strong>, P., & Allison, P. (2009).Occupational feminization <strong>and</strong> <strong>pay</strong>: Assessingcausal dynamics using 1950–2000 U.S.census data. Social Forces, 88(2), 865–92.Lo Sasso, A. T., Richards, M. R., Chou, C.-F., &Gerber, S. E. (2011). The $16,819 <strong>pay</strong> <strong>gap</strong> fornewly trained physicians: The unexplainedtrend <strong>of</strong> <strong>men</strong> earning more than <strong>wo<strong>men</strong></strong>.Health Affairs, 30(2), 193–201. content.healthaffairs.org/content/30/2/193.abstract.Lovell, V. (2006). Solving <strong>the</strong> nurse shortage throughhigher wages. Washing<strong>to</strong>n, DC: Institute forWo<strong>men</strong>’s Policy Research.McDonald, J., & Thorn<strong>to</strong>n, R. J. (2007). Do newmale <strong>and</strong> female <strong>college</strong> graduates receiveunequal <strong>pay</strong>? Journal <strong>of</strong> Human Resources,42(1), 32–48.McKinnish, T. (2008). Spousal mobility <strong>and</strong><strong>earnings</strong>. Demography, 45(4), 829–49.Miller, P. W. (2009). The gender <strong>pay</strong> <strong>gap</strong> in <strong>the</strong>U.S.: Does sec<strong>to</strong>r make a difference? Journal<strong>of</strong> Labor Research, 30, 52–74.Minnesota Manage<strong>men</strong>t <strong>and</strong> Budget. (2012).www.mmb.state.mn.us/comp-<strong>pay</strong>-equity.Moss-Racusin, C., Dovidio, J., Brescoll, V., Graham,M., & H<strong>and</strong>elsman, J. (2012). Sciencefaculty’s subtle gender biases favor male students.Proceedings <strong>of</strong> <strong>the</strong> National Academy <strong>of</strong>Sciences <strong>of</strong> <strong>the</strong> USA. 10.1073/pnas.1211286109.National Science Foundation. Division <strong>of</strong> ScienceResources Statistics. (2011). Wo<strong>men</strong>,minorities, <strong>and</strong> persons with disabilities in science<strong>and</strong> engineering: 2011. Special Report NSF11-309. Arling<strong>to</strong>n, VA: Author. www.nsf.gov/statistics/wmpd.Nguyen, M. (2012). Degreeless in debt: What happens<strong>to</strong> borrowers who drop out. Washing<strong>to</strong>n,DC: Education Sec<strong>to</strong>r. www.educationsec<strong>to</strong>r.org/sites/default/files/publications/DegreelessDebt_CYCT_RELEASE.<strong>pdf</strong>.Project on Student Debt. (2011a). Private loans:Facts <strong>and</strong> trends. Oakl<strong>and</strong>, CA: Author.projec<strong>to</strong>nstudentdebt.org/files/pub/private_loan_facts_trends.<strong>pdf</strong>.––––––. (2011b). Student debt <strong>and</strong> <strong>the</strong> class <strong>of</strong> 2010.Oakl<strong>and</strong>, CA: Author. projec<strong>to</strong>nstudentdebt.org/files/pub/class<strong>of</strong>2010.<strong>pdf</strong>.Scherschel, P. (1998). Student indebtedness: Areborrowers pushing <strong>the</strong> limits? Indianapolis, IN:USA Group Foundation.44 Graduating <strong>to</strong> a Pay Gap


Schmitt, J., & Warner, K. (2009). The changingface <strong>of</strong> labor. Washing<strong>to</strong>n, DC: Center forEconomic <strong>and</strong> Policy Research. www.cepr.net/docu<strong>men</strong>ts/publications/changing-face<strong>of</strong>-labor-2009-11.<strong>pdf</strong>.Shauman, K. A. (2006). Occupational sex segregation<strong>and</strong> <strong>the</strong> <strong>earnings</strong> <strong>of</strong> occupations:What causes <strong>the</strong> link among <strong>college</strong>-educatedworkers? Social Science Research, 35,577–619.Snyder, T. D., & Dillow, S. A. (2011). Digest <strong>of</strong>Education Statistics 2010 (NCES 2011-015).Tables 296 <strong>and</strong> 391. Washing<strong>to</strong>n, DC: U.SDepart<strong>men</strong>t <strong>of</strong> Education, National Centerfor Education Statistics, Institute <strong>of</strong> EducationSciences.Steinberg, R. J. (2001). Comparable worth ingender studies. In N. J. Smelser & P. B. Baltes(Eds.), International encyclopedia <strong>of</strong> <strong>the</strong> social<strong>and</strong> behavioral sciences. Vol. 4, pp. 2393–97.New York: Elsevier.U.S. Depart<strong>men</strong>t <strong>of</strong> Education. Federal StudentAid. (2012). Income-based re<strong>pay</strong><strong>men</strong>t plan for<strong>the</strong> direct loan <strong>and</strong> <strong>the</strong> FFEL programs. Washing<strong>to</strong>n,DC: Author. studentaid.ed.gov/sites/default/files/income-based-re<strong>pay</strong><strong>men</strong>t.<strong>pdf</strong>.U.S. Depart<strong>men</strong>t <strong>of</strong> Education. National Centerfor Education Statistics. (2012). 2008–09 baccalaureate<strong>and</strong> beyond longitudinal study. Washing<strong>to</strong>n,DC: Author. Data analysis systemavailable from nces.ed.gov/datalab.U.S. Depart<strong>men</strong>t <strong>of</strong> Health <strong>and</strong> Human Services.(2012). Prior HHS poverty guidelines <strong>and</strong>Federal Register references. aspe.hhs.gov/poverty/figures-fed-reg.shtml.U.S. Depart<strong>men</strong>t <strong>of</strong> Labor. Bureau <strong>of</strong> LaborStatistics. (2012). Union members summaryeconomic news release (USDL-12-0094). Newsrelease. www.bls.gov/news.release/union2.nr0.htm.––––––. (2011a). Employ<strong>men</strong>t <strong>and</strong> <strong>earnings</strong>. Table39. www.bls.gov/opub/ee/empearn201101.<strong>pdf</strong>.––––––. (2011b). Wo<strong>men</strong> in <strong>the</strong> labor force: A databook.2011 ed. www.bls.gov/cps/wlf-databook2011.htm.U.S. Govern<strong>men</strong>t Accountability Office. (2010).Wo<strong>men</strong> in manage<strong>men</strong>t: Analysis <strong>of</strong> femalemanagers’ representation, characteristics, <strong>and</strong> <strong>pay</strong>.Washing<strong>to</strong>n, DC: Author.––––––. (2009). Wo<strong>men</strong>’s <strong>pay</strong>: Gender <strong>pay</strong> <strong>gap</strong> in<strong>the</strong> federal workforce narrows as differences inoccupation, education, <strong>and</strong> experience diminish.Washing<strong>to</strong>n, DC: Author.Zhang, L. (2008). Gender <strong>and</strong> racial <strong>gap</strong>s in <strong>earnings</strong>among recent <strong>college</strong> graduates. Review<strong>of</strong> Higher Education, 32(1), 51–72.AAUW45


Wo<strong>men</strong> in Science,Technology,Engineering,<strong>and</strong> Ma<strong>the</strong>maticsAAUW Research ReportsRecent AAUW reports may be downloaded for free at www.aauw.org/research.Crossing <strong>the</strong> Line: SexualHarass<strong>men</strong>t at School (2012)Wo<strong>men</strong> at Work (2003)Why So Few?Why So Few? Wo<strong>men</strong> in Science,Technology, Engineering, <strong>and</strong>Ma<strong>the</strong>matics (2010)Harass<strong>men</strong>t-Free Hallways:How <strong>to</strong> S<strong>to</strong>p Sexual Harass<strong>men</strong>tin Schools (2002)Where <strong>the</strong> Girls Are: The Facts AboutGender Equity in Education (2008)Hostile Hallways: Bullying,Teasing, <strong>and</strong> Sexual Harass<strong>men</strong>tin School (2001)Behind <strong>the</strong> Pay Gap (2007)The Third Shift: Wo<strong>men</strong>Learning Online (2001)Drawing <strong>the</strong> Line: SexualHarass<strong>men</strong>t on Campus (2006)Beyond <strong>the</strong> “Gender Wars”:A Conversation About Girls,Boys, <strong>and</strong> Education (2001)Tenure Denied: Cases <strong>of</strong> SexDiscrimination in Academia (2004)¡Si, Se Puede! Yes, We Can:Latinas in School (2000)Under <strong>the</strong> Microscope:A Decade <strong>of</strong> Gender EquityProjects in <strong>the</strong> Sciences (2004)Tech-Savvy: Educating Girls in<strong>the</strong> New Computer Age (2000)


Join AAUWYes! I want <strong>to</strong> join AAUW’s community <strong>and</strong> help break through educational<strong>and</strong> economic barriers so that all <strong>wo<strong>men</strong></strong> have a fair chance.Join online at www.aauw.org or use this form.The AAUW community is powerful <strong>and</strong> influential! Our members share a strong commit<strong>men</strong>t <strong>to</strong> educational <strong>and</strong> economic equity for <strong>wo<strong>men</strong></strong> <strong>and</strong> girls. We are well known on Capi<strong>to</strong>l Hill <strong>and</strong> in <strong>the</strong> civil rights <strong>and</strong> <strong>wo<strong>men</strong></strong>’s advocacy communities,especially in <strong>the</strong> areas <strong>of</strong> K–12, undergraduate, <strong>and</strong> graduate education. We have been working <strong>to</strong> advance <strong>wo<strong>men</strong></strong>’s equity for more than 130 <strong>year</strong>s, integrating our time, ourenergy, <strong>and</strong> our philanthropy.Who can join?If you hold an associate or equivalent or higher degree from a regionally accredited <strong>college</strong> or university,you can join AAUW as an individual national member or as a member <strong>of</strong> <strong>one</strong> <strong>of</strong> AAUW’s 1,000branches. Branch members also belong <strong>to</strong> <strong>the</strong> national organization.If you are an undergraduate in a two- or four-<strong>year</strong> regionally accredited educational institution, youcan join as a student affiliate <strong>of</strong> a branch or as a national student affiliate.Join <strong>to</strong>day!Support AAUW initiatives at <strong>the</strong> national level by joining as a national member. National memberdues are $49* annually. Dues for student affiliates are $17** annually.To become a branch member or a branch student affiliate, join at <strong>the</strong> local level. Visit www.aauw.org,e-mail connect@aauw.org, or call 800/326-AAUW (2289) <strong>to</strong> locate a branch in your area.Please allow up <strong>to</strong> four weeks for receipt <strong>of</strong> your new member packet. AAUW does not share e-mailaddresses with third parties. Occasionally AAUW’s membership list is made available <strong>to</strong> carefully screened companies <strong>and</strong> organizations. Check here if you do notwant your name included on <strong>the</strong> list.*AAUW national individual membership dues are $49. Of that amount, $46 is tax deductible as a charitable contribution, <strong>and</strong> $3 is notdeductible because it supports <strong>the</strong> AAUW Action Fund’s section 501(c)(4) Lobby Corps <strong>and</strong> get-out-<strong>the</strong>-vote activities.** The AAUW national student affiliate fee is $17. Of that amount, $16 is tax deductible as a charitable contribution, <strong>and</strong> $1 is not deductiblebecause it supports <strong>the</strong> AAUW Action Fund’s section 501(c)(4) Lobby Corps <strong>and</strong> get-out-<strong>the</strong>-vote activities.


Join AAUWPersonal InformationName _________________________________________Street _________________________________________City_____________________________ State ________Zip _____________________Ph<strong>one</strong> (H) (_________) __________________________(W) (_________) __________________________E-mail address _________________________________College/university _______________________________State __________________________________________Degree earned/sought ___________________________Year graduated/anticipated <strong>graduation</strong> _____________I wish <strong>to</strong> join as anAAUW National Member ($49)AAUWGraduate Student Member ($18.81)AAUW Student Affiliate ($17)You may qualify for FREE e-student affiliate membership. Visit<strong>the</strong> AAUW website at www.aauw.org <strong>to</strong> see if your school is anAAUW partner member. If yes, contact AAUW at 800/326-2289for your school representative.For <strong>college</strong>/university partner memberships, visit www.aauw.org/join.Total enclosed $____________M13GTPGPay<strong>men</strong>t InformationCheck or m<strong>one</strong>y order <strong>pay</strong>able <strong>to</strong> AAUWCredit card (check <strong>one</strong>):MasterCard VISA American Express DiscoverCard #__ __ __ __ - __ __ __ __ - __ __ __ __ - __ __ __ __Exp. date ______________________________________Name on card __________________________________Signature ______________________________________Today’s date ____________________________________Credit card billing addressSame as aboveName _________________________________________Street _________________________________________City______________________________ State ________Zip _______________Mail completed membership application <strong>to</strong> AAUW,P.O. Box 96974, Washing<strong>to</strong>n, DC 20077-7022.


We Need Your HelpPlease give <strong>to</strong>day!Founded in 1881, AAUW has champi<strong>one</strong>d <strong>the</strong> rights <strong>of</strong> <strong>wo<strong>men</strong></strong> <strong>and</strong> girls in education <strong>and</strong> <strong>the</strong> workplace formore than 130 <strong>year</strong>s. Hundreds <strong>of</strong> thous<strong>and</strong>s <strong>of</strong> <strong>wo<strong>men</strong></strong> <strong>and</strong> <strong>men</strong> have contributed <strong>the</strong>ir time <strong>and</strong> financialresources <strong>to</strong> help AAUW break through educational <strong>and</strong> economic barriers so that all <strong>wo<strong>men</strong></strong> <strong>and</strong> girls havea fair chance. Today, our message remains as true as ever: Educating <strong>wo<strong>men</strong></strong> <strong>and</strong> girls helps individuals, <strong>the</strong>irfamilies, <strong>and</strong> society. With 150,000 members <strong>and</strong> supporters, 1,000 branches, <strong>and</strong> 700 <strong>college</strong> <strong>and</strong> universitypartners, AAUW provides a powerful voice for <strong>wo<strong>men</strong></strong> <strong>and</strong> girls—in Washing<strong>to</strong>n, D.C., our state capitals, <strong>and</strong>our communities. AAUW’s work would not be possible without generous contributions from people who shareour commit<strong>men</strong>t <strong>to</strong> education, passion for equity, <strong>and</strong> unwavering belief that <strong>wo<strong>men</strong></strong> are an instru<strong>men</strong>tal part <strong>of</strong>leadership, change, <strong>and</strong> growth. With your support, AAUW can continue its research <strong>and</strong> scholarship on issues<strong>of</strong> importance <strong>to</strong> <strong>wo<strong>men</strong></strong> <strong>and</strong> girls.Yes! I support <strong>the</strong> work <strong>of</strong> <strong>the</strong> AAUW community. Please accept my tax-deductible contribution <strong>of</strong>$250 $100 $50 $25 O<strong>the</strong>r (specify______)Name ____________________________________________________________________________________________Address ________________________________________________City ___________________________________State ____________________Zip ________________ E-mail address __________________________________Pay<strong>men</strong>t InformationCheck or m<strong>one</strong>y order <strong>pay</strong>able <strong>to</strong> AAUWCredit card (check <strong>one</strong>):MasterCard VISA American Express DiscoverCard #__ __ __ __ - __ __ __ __ - __ __ __ __ - __ __ __ __Exp. date _____________ Today’s date _____________Signature _____________________________________Name on card _________________________________Billing address Same as aboveAddress________________________________________City___________________________________________State____________________ Zip__________________Fax your completed form <strong>to</strong> 202/463-7169 (credit card<strong>pay</strong><strong>men</strong>ts only) or mail it <strong>to</strong> AAUW, P.O. Box 98045,Washing<strong>to</strong>n, DC 20090-8045.To learn more about AAUW or <strong>to</strong> make contributions online, visit www.aauw.org.AAUW is a 501(c)(3) corporation. Donations are tax deductible.


AAUW Board <strong>of</strong> Direc<strong>to</strong>rsCarolyn H. Garfein, PresidentPatricia Fae Ho, Vice PresidentKathy AnthonAmy BlackwellKathryn BraemanJulia T. BrownS<strong>and</strong>ra CamilloKathleen ChaChar<strong>men</strong> Goehring-FoxConnie M. Hildebr<strong>and</strong>Millie H<strong>of</strong>fler-FousheeDavid KirkwoodBetsy McDowellDot McLanePeggy Ryan WilliamsAAUW Executive OfficeLinda D. Hallman, Executive Direc<strong>to</strong>rJill Birdwhistell, Chief Operating OfficerMike Gellman, Chief Financial OfficerAAUW Research Depart<strong>men</strong>tCa<strong>the</strong>rine Hill, Direc<strong>to</strong>rChristianne Corbett, Senior ResearcherAndresse St. Rose, Senior ResearcherAAUW Art, Edi<strong>to</strong>rial, <strong>and</strong> Media Depart<strong>men</strong>tRebecca Lanning, Direc<strong>to</strong>rHannah Belec, Edi<strong>to</strong>r/WriterElizabeth Bol<strong>to</strong>n, Managing Edi<strong>to</strong>rKa<strong>the</strong>rine Broendel, Media <strong>and</strong> Public Relations ManagerAlan Call<strong>and</strong>er, Social Media ManagerMukti Desai, Art Direc<strong>to</strong>rLisa Goodnight, Senior Media <strong>and</strong> Public Relations ManagerEmily Long, Edi<strong>to</strong>rial AssistantAllison VanKanegan, Graphic DesignerRachel Wallace, Staff Writer


By joining AAUW, you belong <strong>to</strong> a community that breaksthrough educational <strong>and</strong> economic barriers so that all <strong>wo<strong>men</strong></strong>have a fair chance.AAUW advances equity for <strong>wo<strong>men</strong></strong> <strong>and</strong> girls through advocacy,education, philanthropy, <strong>and</strong> research.AAUW values <strong>and</strong> supports diversity in principle <strong>and</strong> practice.There shall be no barriers <strong>to</strong> full participation in this organizationon <strong>the</strong> basis <strong>of</strong> gender, race, creed, age, sexual orientation,national origin, disability, or class.


1111 Sixteenth St. NWWashing<strong>to</strong>n, DC 20036Ph<strong>one</strong>: 202.785.7700connect@aauw.orgwww.aauw.org

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!