IDEAS home Printed from https://ideas.repec.org/a/eee/joepsy/v99y2023ics0167487023000600.html
   My bibliography  Save this article

Do prosocial incentives motivate women to set higher goals and improve performance?

Author

Listed:
  • Cao, Yu
  • Capra, C. Mónica
  • Su, Yuxin

Abstract

We investigate the effect of prosocial rewards on goal-setting and performance of women. We designed an online experiment where participants performed real-effort tasks. In our experimental treatments, participants were asked to set their own goals as to how many tasks they would perform within a fixed time frame. Contrary to previous research indicating that women tend to underperform due to setting lower goals for themselves compared to men, our study demonstrates that when rewards are prosocial, women set challenging, but achievable and their performance improves. Our results suggest that prosocial incentives within the goal-setting scheme can be an effective way to help women improve their performance.

Suggested Citation

  • Cao, Yu & Capra, C. Mónica & Su, Yuxin, 2023. "Do prosocial incentives motivate women to set higher goals and improve performance?," Journal of Economic Psychology, Elsevier, vol. 99(C).
  • Handle: RePEc:eee:joepsy:v:99:y:2023:i:c:s0167487023000600
    DOI: 10.1016/j.joep.2023.102659
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0167487023000600
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.joep.2023.102659?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Prosocial incentives; Gender; Performance goal; Experiment; Real-effort tasks;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J30 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joepsy:v:99:y:2023:i:c:s0167487023000600. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/joep .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.