TY  - JOUR
AU  - Minaya, Veronica
AU  - Scott-Clayton, Judith
TI  - Labor Market Outcomes and Postsecondary Accountability: Are Imperfect Metrics Better than None?
JF  - National Bureau of Economic Research Working Paper Series
VL  - No. 22880
PY  - 2016
Y2  - December 2016
DO  - 10.3386/w22880
UR  - http://www.nber.org/papers/w22880
L1  - http://www.nber.org/papers/w22880.pdf
N1  - Author contact info:
Veronica Minaya
Teachers College, Columbia University
525 W. 120th St, Box 174
New York, NY 10027
E-Mail: vmm2122@tc.columbia.edu

Judith Scott-Clayton
Teachers College
Columbia University
525 W.120th Street, Box 174
New York, NY 10027
Tel: 212/678-3478
Fax: 212/678-3699
E-Mail: scott-clayton@tc.columbia.edu
M1  - published as Veronica Minaya, Judith Scott-Clayton. "Labor Market Outcomes and Postsecondary Accountability: Are Imperfect Metrics Better Than None?," in Caroline M. Hoxby and Kevin Stange, editors, "Productivity in Higher Education" University of Chicago Press (2019)

AB  - 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.
ER  -