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Gender Differences in Private and Public Goal Setting

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  • Jordi Brandts
  • Sabrine El Baroudi
  • Stefanie J. Huber
  • Cristina Rott

Abstract

We conduct a field and an online classroom experiment to study gender differences in self-set performance goals and their effects on performance in a real-effort task. We distinguish between public and private goals, performance being public and identifiable in both cases. Participants set significantly more ambitious goals when these are public. Women choose lower goals than men in both treatments, but in particular when goals are private information. Men perform better than women under private and public goals as well as in the absence of goal setting, consistent with the identifiability of performance causing gender differences, as found in other studies. Compared to private goal setting, public goal setting does not affect men’s performance at all but it leads to women’s performance being significantly lower. Comparing self-set goals with actual performance we find that under private goal setting women’s performance is on average 67% of goals, whereas for men it is 57%. Under public goal setting the corresponding percentages are 43% and 39%, respectively.

Suggested Citation

  • Jordi Brandts & Sabrine El Baroudi & Stefanie J. Huber & Cristina Rott, 2021. "Gender Differences in Private and Public Goal Setting," Working Papers 1231, Barcelona School of Economics.
  • Handle: RePEc:bge:wpaper:1231
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    2. Bauckloh, Michael Tobias & Dobrick, Juris & Höck, André & Utz, Sebastian & Wagner, Marcus, 2023. ""In partnership for the goals"? The (dis)agreement of SDG ratings," CFR Working Papers 23-02, University of Cologne, Centre for Financial Research (CFR).
    3. Dante Amengual & Gabriele Fiorentini & Enrique Sentana, 2022. "Specification tests for non-Gaussian structural vector autoregressions," Working Papers wp2022_2212, CEMFI.
    4. Goel, Rajeev K. & Nelson, Michael A., 2023. "Women’s political empowerment: Influence of women in legislative versus executive branches in the fight against corruption," Journal of Policy Modeling, Elsevier, vol. 45(1), pages 139-159.
    5. Sascha A. Keweloh, 2023. "Structural Vector Autoregressions and Higher Moments: Challenges and Solutions in Small Samples," Papers 2310.08173, arXiv.org.

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    More about this item

    Keywords

    gender differences; goal setting; public observability; experiment;
    All these keywords.

    JEL classification:

    • 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
    • J82 - Labor and Demographic Economics - - Labor Standards - - - Labor Force Composition

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