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来源类型Working Paper
规范类型报告
DOI10.3386/w22880
来源IDWorking Paper 22880
Labor Market Outcomes and Postsecondary Accountability: Are Imperfect Metrics Better than None?
Veronica Minaya; Judith Scott-Clayton
发表日期2016-12-05
出版年2016
语种英语
摘要Policymakers at the state and federal level are increasingly pushing to hold institutions accountable for the labor market outcomes of their students. There is no consensus, however, on how such measures should be constructed, or how the choice of measure may affect the resulting institutional ratings. Using state administrative data that links postsecondary transcripts and in-state quarterly earnings and unemployment records over more than a decade, we construct a variety of possible institution-level labor market outcome metrics. We then explore how sensitive institutional ratings are to the choice of labor market metric, length of follow-up, and inclusion of adjustments for student characteristics. We also examine how labor market metrics compare to the academic-outcome-based metrics that are more commonly incorporated into state accountability systems. We conclude that labor market data provides information that is quite distinct from students’ academic outcomes. Institutional ratings based on labor market outcomes, however, are quite sensitive to the specific metric. The choice of metric and length of follow up appear to matter much more than compositional adjustments. Our findings suggest a cautious approach: while a mix of feasible labor market metrics may be better than none, reliance on a single metric, especially if measured very early, may undermine policymakers’ ongoing efforts to accurately quantify institutional performance.
主题Public Economics ; National Fiscal Issues ; Health, Education, and Welfare ; Education
URLhttps://www.nber.org/papers/w22880
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/580554
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Veronica Minaya,Judith Scott-Clayton. Labor Market Outcomes and Postsecondary Accountability: Are Imperfect Metrics Better than None?. 2016.
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