## Statistical Science

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

### Employment Discrimination and Statistical Science

#### 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

#### See also

- See Comment: Franklin M. Fisher. [Employment Discrimination and Statistical Science]: Comment. Statist. Sci., Volume 3, Number 2 (1988), 161--165.Project Euclid: euclid.ss/1177012895
- See Comment: Arthur S. Goldberger. [Employment Discrimination and Statistical Science]: Comment. Statist. Sci., Volume 3, Number 2 (1988), 165--166.Project Euclid: euclid.ss/1177012896
- See Comment: Harry V. Roberts. [Employment Discrimination and Statistical Science]: Comment. Statist. Sci., Volume 3, Number 2 (1988), 167--170.Project Euclid: euclid.ss/1177012897
- See Comment: Delores A. Conway. [Employment Discrimination and Statistical Science]: Comment. Statist. Sci., Volume 3, Number 2 (1988), 171--175.Project Euclid: euclid.ss/1177012898
- See Comment: Joseph L. Gastwirth. [Employment Discrimination and Statistical Science]: Comment. Statist. Sci., Volume 3, Number 2 (1988), 175--183.Project Euclid: euclid.ss/1177012899
- See Comment: Gail Blattenberger. [Employment Discrimination and Statistical Science]: Comment. Statist. Sci., Volume 3, Number 2 (1988), 183--185.Project Euclid: euclid.ss/1177012900
- 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.Project Euclid: euclid.ss/1177012901
- See Comment: John Geweke. [Employment Discrimination and Statistical Science]: Comment: Statistical Science and Economic Science. Statist. Sci., Volume 3, Number 2 (1988), 188--189.Project Euclid: euclid.ss/1177012902
- See Comment: Stephen E. Fienberg. [Employment Discrimination and Statistical Science]: Comment. Statist. Sci., Volume 3, Number 2 (1988), 190--191.Project Euclid: euclid.ss/1177012903
- See Comment: Arthur P. Dempster. [Employment Discrimination and Statistical Science]: Rejoinder. Statist. Sci., Volume 3, Number 2 (1988), 191--195.Project Euclid: euclid.ss/1177012904