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Sex Discrimination in Labor Markets: The Role of Statistical Evidenc e

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Kuhn, Peter J

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Abstract

Correlations between statistically-measured wage discrimination and confidential survey reports of discrimination are used to estimate the relative importance of statistical evidence in determining womens' self-assessed discrimination levels. Statistical evidence is found to be considerably less important than other "nonstatistical" evidence. Assuming courts weigh statistical versus other evidence as individuals do, the effects of making statistical evidence admissible are calculated. Young, well-educated women are predicted to be the main beneficiaries of this policy. Copyright 1987 by American Economic Association.

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Publisher Info
Article provided by American Economic Association in its journal American Economic Review.

Volume (Year): 77 (1987)
Issue (Month): 4 (September)
Pages: 567-83
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Handle: RePEc:aea:aecrev:v:77:y:1987:i:4:p:567-83

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  3. Hiau Joo Kee, 2005. "Glass Ceiling or Sticky Floor? Exploring the Australian Gender Pay Gap using Quantile Regression and Counterfactual Decomposition Methods," CEPR Discussion Papers 487, Centre for Economic Policy Research, Research School of Social Sciences, Australian National University. [Downloadable!]
  4. Harper, Carolyn R. & Willis, Cleve E., 1989. "Gender'S Role In Manuscript Acceptance: Sex In The Journal," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 18(1), April. [Downloadable!]
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  6. Baron, Juan & Cobb-Clark, Deborah, 2008. "Occupational Segregation and the Gender Wage Gap in Private- and Public-Sector Employment: A Distributional Analysis," IZA Discussion Papers 3562, Institute for the Study of Labor (IZA). [Downloadable!]
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  9. Jonathan B. Berk, 1999. "Statistical Discrimination in a Competitive Labor Market," NBER Working Papers 6871, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  11. Jaume Garcia & Pedro J. Hernández & Ángel López Nicolás, 1998. "How Wide Is the Gap? An Investigation of Gender Wage Differences Using Quantile Regression," Economics Working Papers 287, Department of Economics and Business, Universitat Pompeu Fabra. [Downloadable!]
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