An Experimental Study of Statistical Discrimination by Employers
This article reports findings of an experiment motivated by a dynamic labor market model that considers the problem faced by employers in making hiring decisions between workers of different types. The question examined here is how quickly employers learn about the ability of a group of workers through observing representatives of that group. If prior opinions are weak, the employer will use information from the workplace to quickly update any incorrect group-based stereotypes it may have. On the other hand, if priors are heavily weighted, incorrect initial perceptions will result in persistent wage differences. Our experimental findings are twofold. First, subjects' (employers') behavior moves quickly toward optimal choices. Second, strong priors are hard to establish. These results suggest that it would take a long time for employers to form group-based stereotypes and that such stereotypes should go away quickly in response to signals that contradict these stereotypes.
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- Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
- David Card & Alan B. Krueger, 1992.
"School Quality and Black-White Relative Earnings: A Direct Assessment,"
The Quarterly Journal of Economics,
Oxford University Press, vol. 107(1), pages 151-200.
- David Card & Alan B. Krueger, 1991. "School Quality and Black-White Relative Earnings: A Direct Assessment," NBER Working Papers 3713, National Bureau of Economic Research, Inc.
- Joseph G. Altonji & Charles R. Pierret, 2001. "Employer Learning and Statistical Discrimination," The Quarterly Journal of Economics, Oxford University Press, vol. 116(1), pages 313-350.
- Anderson, Lisa R & Holt, Charles A, 1997. "Information Cascades in the Laboratory," American Economic Review, American Economic Association, vol. 87(5), pages 847-62, December.
- Farmer, Amy & Terrell, Dek, 1996. "Discrimination, Bayesian Updating of Employer Beliefs and Human Capital Accumulation," Economic Inquiry, Western Economic Association International, vol. 34(2), pages 204-19, April.
- Phelps, Edmund S, 1972. "The Statistical Theory of Racism and Sexism," American Economic Review, American Economic Association, vol. 62(4), pages 659-61, September.
- Lundberg, Shelly J & Startz, Richard, 1983.
"Private Discrimination and Social Intervention in Competitive Labor Markets,"
American Economic Review,
American Economic Association, vol. 73(3), pages 340-47, June.
- Richard Startz & Lundberg, . "Private Discrimination and Social Intervention in Competitive Labor Markets," Rodney L. White Center for Financial Research Working Papers 19-81, Wharton School Rodney L. White Center for Financial Research.
- 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
- Kenneth Arrow, 1971. "The Theory of Discrimination," Working Papers 403, Princeton University, Department of Economics, Industrial Relations Section..
- Sarin, Rajiv & Vahid, Farshid, 1999. "Payoff Assessments without Probabilities: A Simple Dynamic Model of Choice," Games and Economic Behavior, Elsevier, vol. 28(2), pages 294-309, August.
- Danielle Lewis & Dek Terrell, 2001. "Experience, Tenure, and the Perceptions of Employers," Southern Economic Journal, Southern Economic Association, vol. 67(3), pages 578-597, January.
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