Statistical Issues Arising in Disparate Impact Cases and the Use of the Expectancy Curve in Assessing the Validity of Pre-Employment Tests
Gastwirth, Joseph L. ; Miao, Weiwen ; Zheng, Gang
Internat. Statist. Rev., Tome 71 (2003) no. 3, p. 565-580 / Harvested from Project Euclid
Disparate impact cases concern the potential adverse effect seemingly neutral employment practices, such as passing a pre-employment test or possessing a fixed level of education, have on minority applicants. Their purpose is to eliminate discrimination by subterfuge, i.e., imposing a requirement that eliminates many minority individuals who could do the job but who do not meet the requirement. When a significantly higher fraction of applicants from minority groups fail the requirement compared to majority applicants, the requirement needs to be shown to be job-related. Statistical techniques used at the various stages of a disparate impact claim are described. Properties of the expectancy curve, which describes the utility of a pre-employment test and helps in defining a band of scores defining "equivalently skilled" applicants are discussed.
Publié le : 2003-12-14
Classification:  Banding,  Correlation,  Disparate impact,  Expectancy curve,  Grouping,  Pseudo-likelihood,  Total gain
@article{1066768708,
     author = {Gastwirth, Joseph L. and Miao, Weiwen and Zheng, Gang},
     title = {Statistical Issues Arising in Disparate Impact Cases and the Use of the Expectancy Curve in Assessing the Validity of Pre-Employment Tests},
     journal = {Internat. Statist. Rev.},
     volume = {71},
     number = {3},
     year = {2003},
     pages = { 565-580},
     language = {en},
     url = {http://dml.mathdoc.fr/item/1066768708}
}
Gastwirth, Joseph L.; Miao, Weiwen; Zheng, Gang. Statistical Issues Arising in Disparate Impact Cases and the Use of the Expectancy Curve in Assessing the Validity of Pre-Employment Tests. Internat. Statist. Rev., Tome 71 (2003) no. 3, pp.  565-580. http://gdmltest.u-ga.fr/item/1066768708/