The value of using early-career earnings data in the College Scorecard to guide college choices

Zachary Mabel, C.J. Libassi and Michael Hurwitz

Economics of Education Review, 2020, vol. 75, issue C

Abstract: Policymakers are increasingly including early-career earnings data in consumer-facing college search tools to help students and families make more informed postsecondary education decisions. We offer new evidence on the degree to which existing college-specific earnings data equip consumers with useful information by documenting the level of selection bias in the earnings metrics reported in the U.S. Department of Education's College Scorecard. Given growing interest in reporting earnings by college and major, we focus on the degree to which earnings differences across four-year colleges and universities can be explained by differences in major composition across institutions. We estimate that more than 70% of the variation in median earnings across institutions is explained by observable factors, and accounting for differences in major composition explains 20–30% of the variation in earnings over and above institutional selectivity and student composition. We also identify large variations in the distribution of earnings within colleges; as a result, comparisons of early-career earnings can be extremely sensitive to whether the median, 25th, or 75th percentiles are presented. Taken together, our findings indicate that consumers can easily draw misleading conclusions about institutional quality when using publicly available earnings data to compare institutions.

Keywords: Higher education; College quality; Earnings outcomes (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecoedu:v:75:y:2020:i:c:s0272775719302961

DOI: 10.1016/j.econedurev.2020.101958

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