15.10.2019 Views

The Economic Value of WTAMU Main Report

This report assesses the impact of West Texas A&M University (WTAMU) on the regional economy and the benefits generated by the university for students, taxpayers, and society. The results of this study show that WTAMU creates a positive net impact on the regional economy and generates a positive return on investment for students, taxpayers, and society.

This report assesses the impact of West Texas A&M University (WTAMU) on the regional economy and the benefits generated by the university for students, taxpayers, and society. The results of this study show that WTAMU creates a positive net impact on the regional economy and generates a positive return on investment for students, taxpayers, and society.

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

economics. Those critical <strong>of</strong> the Mincer function point to several unobserved<br />

factors such as ability, socioeconomic status, and family background that also<br />

help explain higher earnings. Failure to account for these factors results in what<br />

is known as an “ability bias.” Research by Card (1999 and 2001) suggests that<br />

the benefits estimated using Mincer’s function are biased upwards by 10% or<br />

less. As such, we reduce the estimated benefits by 10%. We use state-specific<br />

and education level-specific Mincer coefficients.<br />

Figure A6.1 illustrates several important points about the Mincer function. First,<br />

as demonstrated by the shape <strong>of</strong> the curves, an individual’s earnings initially<br />

increase at an increasing rate, then increase at a decreasing rate, reach a<br />

maximum somewhere well after the midpoint <strong>of</strong> the working career, and then<br />

decline in later years. Second, individuals with higher levels <strong>of</strong> education reach<br />

their maximum earnings at an older age compared to individuals with lower<br />

levels <strong>of</strong> education (recall that age serves as a proxy for years <strong>of</strong> experience).<br />

And third, the benefits <strong>of</strong> education, as measured by the difference in earnings<br />

between education levels, increase with age.<br />

FIGURE A6.1: LIFECYCLE CHANGE IN EARNINGS<br />

12 years <strong>of</strong> education 14 years <strong>of</strong> education 16 years <strong>of</strong> education<br />

Earnings<br />

Age<br />

In calculating the alumni impact in Chapter 2, we use the slope <strong>of</strong> the curve in<br />

Mincer’s earnings function to condition the $187 value per CHE to the students’<br />

age and work experience. To the students just starting their career during the<br />

analysis year, we apply a lower value per CHE; to the students in the latter half<br />

or approaching the end <strong>of</strong> their careers we apply a higher value per CHE. <strong>The</strong><br />

original $187 value per CHE applies only to the CHE production <strong>of</strong> students<br />

precisely at the midpoint <strong>of</strong> their careers during the analysis year.<br />

In Chapter 3 we again apply the Mincer function, this time to project the benefits<br />

stream <strong>of</strong> the FY 2017-18 student population into the future. Here too the value<br />

per CHE is lower for students at the start <strong>of</strong> their career and higher near the<br />

end <strong>of</strong> it, in accordance with the scalars derived from the slope <strong>of</strong> the Mincer<br />

curve illustrated in Figure A6.1.<br />

Appendix 6: <strong>Value</strong> per Credit Hour Equivalent and the Mincer Function<br />

95

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

Saved successfully!

Ooh no, something went wrong!