What is Discrimination? Gender in the American Economic Association

24 Pages Posted: 8 Sep 2004 Last revised: 13 Mar 2022

See all articles by Stephen G. Donald

Stephen G. Donald

University of Texas at Austin - Department of Economics

Daniel S. Hamermesh

University of Texas at Austin - Department of Economics; National Bureau of Economic Research (NBER); IZA Institute of Labor Economics

Date Written: August 2004

Abstract

Measuring market discrimination is extremely difficult except in the increasingly rare case where physical output measures allow direct measurement of productivity. We illustrate this point with evidence on elections to offices of the American Economic Association. Using a new technique to infer the determinants of the chances of observing a particular outcome when there are K choices out of N possibilities, we find that female candidates have a much better than random chance of victory. This advantage can be interpreted either as reverse discrimination or as reflecting voters' beliefs that women are more productive than observationally identical men in this activity. If the former this finding could be explained by the behavior of an unchanging median voter whose gender preferences were not satisfied by the suppliers of candidates for office; but there was a clear structural change in voting behavior in the mid-1970s. The results suggest that it is not generally possible to claim that differences in rewards for different groups measure the extent of discrimination or even its direction.

Suggested Citation

Donald, Stephen G. and Hamermesh, Daniel S., What is Discrimination? Gender in the American Economic Association (August 2004). NBER Working Paper No. w10684, Available at SSRN: https://ssrn.com/abstract=579214

Stephen G. Donald

University of Texas at Austin - Department of Economics ( email )

Austin, TX 78712
United States

Daniel S. Hamermesh (Contact Author)

University of Texas at Austin - Department of Economics ( email )

Austin, TX 78712
United States
512-475-8526 (Phone)
512-471-3510 (Fax)

National Bureau of Economic Research (NBER)

1050 Massachusetts Avenue
Cambridge, MA 02138
United States

IZA Institute of Labor Economics

P.O. Box 7240
Bonn, D-53072
Germany

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