Statistical Science

Employment Discrimination and Statistical Science

Arthur P. Dempster

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Abstract

Good practice of legal statistics depends on a foundation of good statistical science. Causal inference from statistical data depends both on understanding of substantive causal processes and adequate principles of statistical inference. The paper makes a case that Bayesian reasoning is needed for statistical studies of employment discrimination. A model based on Bayesian principles is developed in detail and is used to show that any statistical estimate of the effects of employment discrimination must be adjusted from sources of knowledge outside the statistician's data. Econometric analyses, which suggest otherwise, are analyzed and criticized.

Article information

Source
Statist. Sci., Volume 3, Number 2 (1988), 149-161.

Dates
First available in Project Euclid: 19 April 2007

Permanent link to this document
https://projecteuclid.org/euclid.ss/1177012894

Digital Object Identifier
doi:10.1214/ss/1177012894

Mathematical Reviews number (MathSciNet)
MR968389

Zentralblatt MATH identifier
0955.62511

JSTOR
links.jstor.org

Keywords
Bayesian inference causal analysis employment discrimination direct and reverse regression

Citation

Dempster, Arthur P. Employment Discrimination and Statistical Science. Statist. Sci. 3 (1988), no. 2, 149--161. doi:10.1214/ss/1177012894. https://projecteuclid.org/euclid.ss/1177012894


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See also

  • See Comment: Franklin M. Fisher. [Employment Discrimination and Statistical Science]: Comment. Statist. Sci., Volume 3, Number 2 (1988), 161--165.
  • See Comment: Arthur S. Goldberger. [Employment Discrimination and Statistical Science]: Comment. Statist. Sci., Volume 3, Number 2 (1988), 165--166.
  • See Comment: Harry V. Roberts. [Employment Discrimination and Statistical Science]: Comment. Statist. Sci., Volume 3, Number 2 (1988), 167--170.
  • See Comment: Delores A. Conway. [Employment Discrimination and Statistical Science]: Comment. Statist. Sci., Volume 3, Number 2 (1988), 171--175.
  • See Comment: Joseph L. Gastwirth. [Employment Discrimination and Statistical Science]: Comment. Statist. Sci., Volume 3, Number 2 (1988), 175--183.
  • See Comment: Gail Blattenberger. [Employment Discrimination and Statistical Science]: Comment. Statist. Sci., Volume 3, Number 2 (1988), 183--185.
  • See Comment: Paul W. Holland. [Employment Discrimination and Statistical Science]: Comment: Causal Mechanism or Causal Effect: Which Is Best for Statistical Science?. Statist. Sci., Volume 3, Number 2 (1988), 186--188.
  • See Comment: John Geweke. [Employment Discrimination and Statistical Science]: Comment: Statistical Science and Economic Science. Statist. Sci., Volume 3, Number 2 (1988), 188--189.
  • See Comment: Stephen E. Fienberg. [Employment Discrimination and Statistical Science]: Comment. Statist. Sci., Volume 3, Number 2 (1988), 190--191.
  • See Comment: Arthur P. Dempster. [Employment Discrimination and Statistical Science]: Rejoinder. Statist. Sci., Volume 3, Number 2 (1988), 191--195.