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Ask and You Shall Receive? Gender Differences in Regrades in College

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  • Cher Hsuehhsiang Li
  • Basit Zafar

Abstract

Using administrative data from a large 4-year public university, we show that male students are 18.6 percent more likely than female students to receive favorable grade changes initiated by instructors. These gender differences cannot be explained by observable characteristics of the students, instructors, and the classes. To understand the mechanisms underlying these gendered outcomes, we conduct surveys of students and instructors, which reveal that regrade requests are prevalent, and that male students are more likely than female students to ask for regrades on the intensive margin. Finally, we corroborate the gender differences in regrade requests in an incentivized controlled experiment where participants receive noisy signals of their performance, and where they can ask for regrades: we find that males have a higher willingness to pay (WTP) to ask for regrades. Because students' payoff depends on their final grade and the cost of regrades, male students' higher propensity to ask for regrades makes them financially better off only when the cost is low. Males are more likely than females to become financially worse off when the regrade cost is high. Almost half of the gender difference in the WTP is due to gender differences in confidence, uncertainty in beliefs about ability, and the Big Five personality traits.

Suggested Citation

  • Cher Hsuehhsiang Li & Basit Zafar, 2020. "Ask and You Shall Receive? Gender Differences in Regrades in College," NBER Working Papers 26703, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:26703
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    References listed on IDEAS

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    Cited by:

    1. Oriana Bandiera & Nidhi Parekh & Barbara Petrongolo & Michelle Rao, 2022. "Men are from Mars, and Women Too: A Bayesian Meta‐analysis of Overconfidence Experiments," Economica, London School of Economics and Political Science, vol. 89(S1), pages 38-70, June.
    2. Keng, Shao-Hsun, 2020. "Gender bias and statistical discrimination against female instructors in student evaluations of teaching," Labour Economics, Elsevier, vol. 66(C).

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    More about this item

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • J01 - Labor and Demographic Economics - - General - - - Labor Economics: General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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