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The Impact of Peer Performance and Relative Rank on Managerial Career Attainment: Evidence from College Students

Author

Listed:
  • Ribas, Rafael Perez

    (Boise State University)

  • Sampaio, Breno

    (Universidade Federal de Pernambuco)

  • Trevisan, Giuseppe

    (Universidade Federal de Pernambuco)

Abstract

The ranking system within academic environments may impact future professional trajectories. Examining the influence of class rank on college students' managerial attainment is crucial for understanding some determinants of career advancement. This paper estimates the effect of a low rank in a highperforming class on the probability of college students attaining a managerial position in the future. Our data combine administrative records from a highly selective university in Brazil and employment registries. For most programs, this university divides first-year students into two classes based on their preferences and admission scores. In a regression discontinuity design, we control for students' preferences and inherent skills by comparing the last student admitted to the high-score class (the 'first class') with the first student excluded from this class, who joins the 'second class.' Results show that the last student in the first class is 10 percentage points less likely to attain a managerial position soon after graduating than a similar student in the second class. Although this effect is initially similar between genders, it diminishes for men over time while persisting for women. Overall, our study indicates that better-performing peers can hinder a student's managerial career by lowering their relative rank in the classroom.

Suggested Citation

  • Ribas, Rafael Perez & Sampaio, Breno & Trevisan, Giuseppe, 2024. "The Impact of Peer Performance and Relative Rank on Managerial Career Attainment: Evidence from College Students," IZA Discussion Papers 17082, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp17082
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    References listed on IDEAS

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    1. 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.
    2. Anne Ardila Brenøe & Ulf Zölitz, 2020. "Exposure to More Female Peers Widens the Gender Gap in STEM Participation," Journal of Labor Economics, University of Chicago Press, vol. 38(4), pages 1009-1054.
    3. Marianne Bertrand & Claudia Goldin & Lawrence F. Katz, 2010. "Dynamics of the Gender Gap for Young Professionals in the Financial and Corporate Sectors," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 228-255, July.
    4. 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.
    5. Matias D. Cattaneo & Michael Jansson & Xinwei Ma, 2020. "Simple Local Polynomial Density Estimators," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(531), pages 1449-1455, July.
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    JEL classification:

    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • I23 - Health, Education, and Welfare - - Education - - - Higher Education; Research Institutions
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • M51 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Firm Employment Decisions; Promotions

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