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What is Discrimination? Gender in the American Economic Association

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); Institute for the Study of Labor (IZA)


August 2004

NBER Working Paper No. W10684

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.

Working Paper Series

Date posted: September 08, 2004 ; Last revised: September 08, 2004

Suggested Citation

Donald, Stephen G. and Hamermesh, Daniel S., What is Discrimination? Gender in the American Economic Association (August 2004). NBER Working Paper Series, Vol. w10684, pp. -, 2004. Available at SSRN: http://ssrn.com/abstract=579214


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Contact Information

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
Institute for the Study of Labor (IZA)
P.O. Box 7240
D-53072 Bonn Germany
Stephen G. Donald
University of Texas at Austin - Department of Economics ( email )
Austin, TX 78712
United States
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