IDEAS home Printed from https://ideas.repec.org/p/nbr/nberwo/13727.html
   My bibliography  Save this paper

Gender Differences in Competition: Evidence from a Matrilineal and a Patriarchal Society

Author

Listed:
  • Uri Gneezy
  • Kenneth L. Leonard
  • John A. List

Abstract

This study uses a controlled experiment to explore whether there are gender differences in selecting into competitive environments across two distinct societies: the Maasai in Tanzania and the Khasi in India. One unique aspect of these societies is that the Maasai represent a textbook example of a patriarchal society whereas the Khasi are matrilineal. Similar to the extant evidence drawn from experiments executed in Western cultures, Maasai men opt to compete at roughly twice the rate as Maasai women. Interestingly, this result is reversed amongst the Khasi, where women choose the competitive environment more often than Khasi men, and even choose to compete weakly more often than Maasai men. We view these results as potentially providing insights into the underpinnings of the factors hypothesized to be determinants of the observed gender differences in selecting into competitive environments.

Suggested Citation

  • Uri Gneezy & Kenneth L. Leonard & John A. List, 2008. "Gender Differences in Competition: Evidence from a Matrilineal and a Patriarchal Society," NBER Working Papers 13727, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:13727
    Note: LE LS PE
    as

    Download full text from publisher

    File URL: http://www.nber.org/papers/w13727.pdf
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Joseph Henrich & Richard McElreath, 2002. "Are peasants risk-averse decision makers?," Artefactual Field Experiments 00066, The Field Experiments Website.
    2. Uri Gneezy & Jan Potters, 1997. "An Experiment on Risk Taking and Evaluation Periods," The Quarterly Journal of Economics, Oxford University Press, vol. 112(2), pages 631-645.
    3. Nabanita Datta Gupta & Anders Poulsen & Marie Claire Villeval, 2005. "Male and Female Competitive Behavior - Experimental Evidence," Post-Print halshs-00180022, HAL.
    4. Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
    5. Michael S. Haigh & John A. List, 2005. "Do Professional Traders Exhibit Myopic Loss Aversion? An Experimental Analysis," Journal of Finance, American Finance Association, vol. 60(1), pages 523-534, February.
    6. Francine D. Blau & Lawrence M. Kahn, 2000. "Gender Differences in Pay," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 75-99, Fall.
    7. Blau, Francine D & Kahn, Lawrence M, 1992. "The Gender Earnings Gap: Learning from International Comparisons," American Economic Review, American Economic Association, vol. 82(2), pages 533-538, May.
    8. Uri Gneezy & Muriel Niederle & Aldo Rustichini, 2003. "Performance in Competitive Environments: Gender Differences," The Quarterly Journal of Economics, Oxford University Press, vol. 118(3), pages 1049-1074.
    9. Vandegrift, Donald & Yavas, Abdullah, 2009. "Men, women, and competition: An experimental test of behavior," Journal of Economic Behavior & Organization, Elsevier, vol. 72(1), pages 554-570, October.
    10. Altonji, Joseph G. & Blank, Rebecca M., 1999. "Race and gender in the labor market," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.),Handbook of Labor Economics, edition 1, volume 3, chapter 48, pages 3143-3259, Elsevier.
    11. Uri Gneezy & Aldo Rustichini, 2004. "Gender and Competition at a Young Age," American Economic Review, American Economic Association, vol. 94(2), pages 377-381, May.
    12. Dora L. Costa & Matthew E. Kahn, 2008. "Learning from the Past," NBER Chapters, in: Heroes and Cowards: The Social Face of War, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

    NEP fields

    This paper has been announced in the following NEP Reports:

    Lists

    This item is featured on the following reading lists, Wikipedia, or ReplicationWiki pages:
    1. Economic Logic blog

    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:nbr:nberwo:13727. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (). General contact details of provider: http://edirc.repec.org/data/nberrus.html .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.