Implementing Anti-discrimination Policies in Statistical Profiling Models

Devin G. Pope and Justin R. Sydnor

American Economic Journal: Economic Policy, 2011, vol. 3, issue 3, pages 206-31

Abstract: How should statistical models used for assigning prices or eligibility be implemented when there is concern about discrimination? In many settings, factors such as race, gender, and age are prohibited. However, the use of variables that correlate with these omitted characteristics (e.g., zip codes, credit scores) is often contentious. We provide a framework to address these issues and propose a method that can eliminate proxy effects while maintaining predictive accuracy relative to an approach that restricts the use of contentious variables outright. We illustrate the value of our proposed method using data from the Worker Profiling and Reemployment Services system. (JEL C53, J15, J65, J71)

JEL-codes: C53 J15 J65 J71 (search for similar items in EconPapers)
Date: 2011
Note: DOI: 10.1257/pol.3.3.206
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