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Does Student Effort Respond to Incentives? Evidence from a Guaranteed College Admissions Program

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Listed:
  • Daniel M. Leeds

    (CNA)

  • Isaac McFarlin

    (University of Florida)

  • Lindsay Daugherty

    (RAND Corporation)

Abstract

This paper studies the effects of guaranteed college admission on student effort and achievement. In 1997, Texas enacted the “Top Ten Percent” law, which guarantees admission to any public college for students in the top ten percent of their high school class. In practice, eligible students become aware of their admission status at the end of their junior year in high school—more than 1 year prior to attending college. We use data from a large, urban school district and regression discontinuity methods to test for effects on effort. Our preferred estimates show that students who barely qualify for the admissions guarantee earn marginally lower grades and take fewer advanced courses in their senior year compared to students who do not qualify for guaranteed admission and learn their status in the final senior year term. We find qualitatively similar results when limiting our sample to finer bandwidths, although the estimates are imprecise.

Suggested Citation

  • Daniel M. Leeds & Isaac McFarlin & Lindsay Daugherty, 2017. "Does Student Effort Respond to Incentives? Evidence from a Guaranteed College Admissions Program," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(3), pages 231-243, May.
  • Handle: RePEc:spr:reihed:v:58:y:2017:i:3:d:10.1007_s11162-016-9427-x
    DOI: 10.1007/s11162-016-9427-x
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    References listed on IDEAS

    as
    1. Andrea Ichino & Regina T. Riphahn, 2005. "The Effect of Employment Protection on Worker Effort: Absenteeism During and After Probation," Journal of the European Economic Association, MIT Press, vol. 3(1), pages 120-143, March.
    2. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    3. Guido Imbens & Karthik Kalyanaraman, 2012. "Optimal Bandwidth Choice for the Regression Discontinuity Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 933-959.
    4. Paco Martorell & Isaac McFarlin, 2011. "Help or Hindrance? The Effects of College Remediation on Academic and Labor Market Outcomes," The Review of Economics and Statistics, MIT Press, vol. 93(2), pages 436-454, May.
    5. McCrary, Justin, 2008. "Manipulation of the running variable in the regression discontinuity design: A density test," Journal of Econometrics, Elsevier, vol. 142(2), pages 698-714, February.
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    Cited by:

    1. Mitra Akhtari & Natalie Bau & Jean-William Laliberté, 2024. "Affirmative Action and Precollege Human Capital," American Economic Journal: Applied Economics, American Economic Association, vol. 16(1), pages 1-32, January.
    2. Rodriguez, Viviana, 2023. "Student effort response to shifts in university admission policies," Economics of Education Review, Elsevier, vol. 93(C).

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