IDEAS home Printed from https://ideas.repec.org/a/oup/econjl/v130y2020i627p716-739..html

I (Don't) Like You! But Who Cares? Gender Differences in Same-Sex and Mixed-Sex Teams

Author

Listed:
  • Leonie Gerhards
  • Michael Kosfeld

Abstract

We study the effect of likeability on women's and men's team behaviour in a lab experiment. Extending a two-player public goods game and a minimum effort game by an additional pre-play stage that informs team members about their mutual likeability, we find that female teams lower their contribution to the public good in the event of low likeability, while male teams achieve high levels of co-operation irrespective of the level of mutual likeability. In mixed-sex teams, both women's and men's contributions depend on mutual likeability. Similar results are found in the minimum effort game. Our results offer a new perspective on gender differences in labour market outcomes: mutual dislikeability impedes team behaviour, except in all-male teams.

Suggested Citation

  • Leonie Gerhards & Michael Kosfeld, 2020. "I (Don't) Like You! But Who Cares? Gender Differences in Same-Sex and Mixed-Sex Teams," The Economic Journal, Royal Economic Society, vol. 130(627), pages 716-739.
    • Handle: RePEc:oup:econjl:v:130:y:2020:i:627:p:716-739.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ej/uez067
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to look for a different version below or

    for a different version of it.

    Other versions of this item:

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Siqi Ma & Li Hao & John A. Aloysius, 2021. "Women are an Advantage in Supply Chain Collaboration and Efficiency," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1427-1441, May.
    2. Fourati, Maleke, 2018. "Envy and the Islamic revival: Experimental evidence from Tunisia," Journal of Comparative Economics, Elsevier, vol. 46(4), pages 1194-1214.
    3. Lin, Tse-Chun & Pursiainen, Vesa, 2023. "Gender differences in reward-based crowdfunding," Journal of Financial Intermediation, Elsevier, vol. 53(C).

    More about this item

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

    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:oup:econjl:v:130:y:2020:i:627:p:716-739.. 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: Oxford University Press or the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/resssea.html .

    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.