2016American Economic ReviewRequires access

Sex Discrimination in Labor Markets: The Role of Statistical Evidence: Reply

Peter Kuhn

Open publisher page 93 citations

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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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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Available 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.

Key concepts: Statistical discrimination, Statistical evidence, Economics, Wage, Statistical analysis, Association (psychology), Econometrics, Demographic economics

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