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May, 1988 Employment Discrimination and Statistical Science
Arthur P. Dempster
Statist. Sci. 3(2): 149-161 (May, 1988). DOI: 10.1214/ss/1177012894


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.


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Arthur P. Dempster. "Employment Discrimination and Statistical Science." Statist. Sci. 3 (2) 149 - 161, May, 1988.


Published: May, 1988
First available in Project Euclid: 19 April 2007

zbMATH: 0955.62511
MathSciNet: MR968389
Digital Object Identifier: 10.1214/ss/1177012894

Rights: Copyright © 1988 Institute of Mathematical Statistics


Vol.3 • No. 2 • May, 1988
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