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What is Discrimination? Gender in the American Economic Association, 1935-2004

Author

Listed:
  • Stephen G. Donald
  • Daniel S. Hamermesh

Abstract

We illustrate problems of measuring discrimination using elections to AEA offices. With a new econometric technique, we find female candidates have a much better than random chance of victory. This advantage is either reverse discrimination or reflects beliefs that women are more productive. The former interpretation could be explained by an unchanging median voter whose preferences were not satisfied by suppliers of candidates; but there was a structural change in voting behavior in the mid-1970s. The results suggest it is generally impossible to claim differences in rewards, for different groups measure the extent of discrimination or even its direction. (JEL A11, D72, J16)

Suggested Citation

  • Stephen G. Donald & Daniel S. Hamermesh, 2006. "What is Discrimination? Gender in the American Economic Association, 1935-2004," American Economic Review, American Economic Association, vol. 96(4), pages 1283-1292, September.
    • Handle: RePEc:aea:aecrev:v:96:y:2006:i:4:p:1283-1292
    Note: DOI: 10.1257/aer.96.4.1283
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    References listed on IDEAS

    as
    1. 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.
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    Cited by:

    1. David Card & Stefano DellaVigna & Patricia Funk & Nagore Iriberri, 2020. "Are Referees and Editors in Economics Gender Neutral?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(1), pages 269-327.
    2. Jason Abrevaya & Daniel S. Hamermesh, 2012. "Charity and Favoritism in the Field: Are Female Economists Nicer (To Each Other)?," The Review of Economics and Statistics, MIT Press, vol. 94(1), pages 202-207, February.
    3. Jan Feld & Nicolás Salamanca & Daniel S. Hamermesh, 2016. "Endophilia or Exophobia: Beyond Discrimination," Economic Journal, Royal Economic Society, vol. 126(594), pages 1503-1527, August.
    4. Daniel S. Hamermesh, 2018. "Citations in Economics: Measurement, Uses, and Impacts," Journal of Economic Literature, American Economic Association, vol. 56(1), pages 115-156, March.
    5. Lucia Foster & Erika McEntarfer & Danielle H. Sandler, 2022. "Diversity and Labor Market Outcomes in the Economics Profession," Working Papers 22-26, Center for Economic Studies, U.S. Census Bureau.
    6. Bransch, Felix & Kvasnicka, Michael, 2022. "Male Gatekeepers: Gender Bias in the Publishing Process?," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 714-732.
    7. Daniel LaFave & Randy Nelson & Michael Doherty, 2018. "Race and Retention in a Competitive Labor Market," Journal of Sports Economics, , vol. 19(3), pages 417-451, April.

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    More about this item

    JEL classification:

    • A11 - General Economics and Teaching - - General Economics - - - Role of Economics; Role of Economists
    • D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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