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Perform better, or else: Academic probation, public praise, and students decision-making

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  • Wright, Nicholas A.

Abstract

This paper examines how college initiatives that ascribe public recognition or written reprimand to a set standard of academic performance impact students’ decision-making. Many colleges utilize programs such as the Dean’s list and academic probation policies as mediums to encourage student success. These policies impose a cost on affected students through the potential loss of acquired benefits or the threat of expulsion for failing to perform above the established standard in future semesters. Using the regression discontinuity design, I find that students who are named to the Dean’s list or put on academic probation during their first year improved their subsequent academic performance. To achieve this improvement, students on the Dean’s list are induced into selecting courses and instructors that are more likely to result in higher letter grades and those bounded by the academic probation policy are likely to switch majors and employ a maximin strategy for expected grades when choosing courses.

Suggested Citation

  • Wright, Nicholas A., 2020. "Perform better, or else: Academic probation, public praise, and students decision-making," Labour Economics, Elsevier, vol. 62(C).
  • Handle: RePEc:eee:labeco:v:62:y:2020:i:c:s0927537119301095
    DOI: 10.1016/j.labeco.2019.101773
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    1. Alan I. Barreca & Jason M. Lindo & Glen R. Waddell, 2016. "Heaping-Induced Bias In Regression-Discontinuity Designs," Economic Inquiry, Western Economic Association International, vol. 54(1), pages 268-293, January.
    2. Carruthers, Celeste K. & Özek, Umut, 2016. "Losing HOPE: Financial aid and the line between college and work," Economics of Education Review, Elsevier, vol. 53(C), pages 1-15.
    3. Sebastian Calonico & Matias D. Cattaneo & Rocio Titiunik, 2014. "Robust Nonparametric Confidence Intervals for Regression‐Discontinuity Designs," Econometrica, Econometric Society, vol. 82, pages 2295-2326, November.
    4. Fletcher, Jason M. & Tokmouline, Mansur, 2017. "The Effects of Academic Probation on College Success: Regression Discontinuity Evidence from Four Texas Universities," IZA Discussion Papers 11232, Institute of Labor Economics (IZA).
    5. Jason M. Lindo & Nicholas J. Sanders & Philip Oreopoulos, 2010. "Ability, Gender, and Performance Standards: Evidence from Academic Probation," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 95-117, April.
    6. Benjamin Elsner & Ingo E. Isphording, 2017. "A Big Fish in a Small Pond: Ability Rank and Human Capital Investment," Journal of Labor Economics, University of Chicago Press, vol. 35(3), pages 787-828.
    7. Todd R. Stinebrickner & Ralph Stinebrickner, 2011. "Math or Science? Using Longitudinal Expectations Data to Examine the Process of Choosing a College Major," NBER Working Papers 16869, National Bureau of Economic Research, Inc.
    8. Roland Bénabou & Jean Tirole, 2005. "Self-Confidence and Personal Motivation," International Economic Association Series, in: Bina Agarwal & Alessandro Vercelli (ed.), Psychology, Rationality and Economic Behaviour, chapter 2, pages 19-57, Palgrave Macmillan.
    9. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    10. Andrew Gelman & Guido Imbens, 2019. "Why High-Order Polynomials Should Not Be Used in Regression Discontinuity Designs," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(3), pages 447-456, July.
    11. Ben Ost & Weixiang Pan & Douglas Webber, 2018. "The Returns to College Persistence for Marginal Students: Regression Discontinuity Evidence from University Dismissal Policies," Journal of Labor Economics, University of Chicago Press, vol. 36(3), pages 779-805.
    12. Marcus D. Casey & Jeffrey Cline & Ben Ost & Javaeria A. Qureshi, 2018. "Academic Probation, Student Performance, And Strategic Course‐Taking," Economic Inquiry, Western Economic Association International, vol. 56(3), pages 1646-1677, July.
    13. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2018. "Manipulation testing based on density discontinuity," Stata Journal, StataCorp LP, vol. 18(1), pages 234-261, March.
    14. David S. Lee & Thomas Lemieux, 2010. "Regression Discontinuity Designs in Economics," Journal of Economic Literature, American Economic Association, vol. 48(2), pages 281-355, June.
    15. Sarah R. Cohodes & Joshua S. Goodman, 2014. "Merit Aid, College Quality, and College Completion: Massachusetts' Adams Scholarship as an In-Kind Subsidy," American Economic Journal: Applied Economics, American Economic Association, vol. 6(4), pages 251-285, October.
    16. Tin-Chun Lin, 2013. "Student performance and subsequent effort increment investment: do students behave like producers?," International Journal of Education Economics and Development, Inderscience Enterprises Ltd, vol. 4(3), pages 219-232.
    17. 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.
    18. Eric Bettinger & Oded Gurantz & Laura Kawano & Bruce Sacerdote & Michael Stevens, 2019. "The Long-Run Impacts of Financial Aid: Evidence from California's Cal Grant," American Economic Journal: Economic Policy, American Economic Association, vol. 11(1), pages 64-94, February.
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    Cited by:

    1. Ashby, Nathan J., 2023. "An examination of peer effects using high school competition realignments," Journal of Economic Behavior & Organization, Elsevier, vol. 206(C), pages 122-135.
    2. Nicholas A. Bowman & Nayoung Jang, 2022. "What is the Purpose of Academic Probation? Its Substantial Negative Effects on Four-Year Graduation," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(8), pages 1285-1311, December.
    3. Wright, Nicholas A. & Arora, Puneet, 2022. "A for effort: Incomplete information and college students’ academic performance," Economics of Education Review, Elsevier, vol. 88(C).
    4. Aaron Albert & Nathan Wozny, 2022. "The Impact of Academic Probation: Do Intensive Interventions Help?," Working Papers 2022-02, Department of Economics and Geosciences, US Air Force Academy.

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    More about this item

    Keywords

    Public praise; Academic probation; Effort; Course selection; Major; GPA;
    All these keywords.

    JEL classification:

    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • I20 - Health, Education, and Welfare - - Education - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General

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