The Benefits to Taxpayers from Increases in Students - RAND ...
The Benefits to Taxpayers from Increases in Students - RAND ...
The Benefits to Taxpayers from Increases in Students - RAND ...
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Payments for Taxes and Social Programs 31<br />
among the adults <strong>in</strong> the household <strong>to</strong> compute average tax payments by <strong>in</strong>dividuals.<br />
We then model payments as a function of education level, age, and demographic characteristics.<br />
F<strong>in</strong>ally, we forecast payments throughout the entire work<strong>in</strong>g life of an adult<br />
<strong>to</strong> calculate the differential impact of education level on public revenues.<br />
This approach underestimates the effects of <strong>in</strong>creases <strong>in</strong> education on state tax<br />
payments. When a family <strong>in</strong>cludes two or more adults, we assume the tax payments<br />
made by the family are evenly distributed among the adults. Accord<strong>in</strong>gly, we understate<br />
the contributions the higher-paid members of the family contribute <strong>to</strong> the family’s<br />
tax payments and overstate the contributions lower-paid members of the family<br />
contribute <strong>to</strong> the family’s tax payments. Because more highly educated people are generally<br />
the more highly paid members of a family, we underestimate the effects of an<br />
<strong>in</strong>dividual’s education level on his or her contributions <strong>to</strong> state tax payments.<br />
Appendix B provides the details of the models we used <strong>to</strong> estimate the effects of<br />
education level on state tax payments.<br />
Educational Atta<strong>in</strong>ment and Earn<strong>in</strong>gs<br />
Educational atta<strong>in</strong>ment <strong>in</strong>creases the likelihood of be<strong>in</strong>g employed and it <strong>in</strong>creases<br />
wages when employed. More education also <strong>in</strong>creases the likelihood of labor force<br />
participation, so the effects of education level on <strong>in</strong>come are greater than the effects on<br />
earn<strong>in</strong>gs alone.<br />
<strong>The</strong> distributions of both annual average <strong>in</strong>dividual earn<strong>in</strong>gs and annual average<br />
family <strong>in</strong>come <strong>in</strong> our data exhibit a strong association with education level, as can be<br />
seen <strong>in</strong> Tables 3.1a and 3.1b. For a sample of roughly 40,000 nationally representative<br />
<strong>in</strong>dividuals covered <strong>in</strong> all months of 2002 by the SIPP, the summary figures <strong>in</strong>dicate<br />
that both average <strong>in</strong>dividual <strong>in</strong>come and average family <strong>in</strong>comes rise steeply with education<br />
level.<br />
Table 3.1a shows the average earn<strong>in</strong>gs by education level and ethnicity for all persons<br />
<strong>in</strong> the sample, <strong>in</strong>clud<strong>in</strong>g those not employed. Accord<strong>in</strong>gly, they reflect the effects<br />
of education on both employed persons’ wages and salaries and the likelihood that a<br />
person will be employed and, if employed, their hours worked. For the entire sample,<br />
bachelor’s degree holders, on average, earn more than two times what high school<br />
graduates earn. For Asians this ratio rises <strong>to</strong> three times. Comparable differences are<br />
not as large for family <strong>in</strong>comes, probably as a result of congregation of high earners and<br />
low earners with<strong>in</strong> households.<br />
Table 3.1b shows average family <strong>in</strong>come. <strong>The</strong> data <strong>in</strong>clude only cash <strong>in</strong>come. Ink<strong>in</strong>d<br />
benefits, such as food stamps or Medicaid benefits, are not <strong>in</strong>cluded.