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Replication data for: Implementing Anti-discrimination Policies in Statistical Profiling Models

Version
1
Resource Type
Dataset
Creator
  • Pope, Devin G.
  • Sydnor, Justin R.
Publication Date
2011-08-01
Description
  • 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)
Availability
Download
Relations
  • Is supplement to
    DOI: 10.1257/pol.3.3.206 (Text)
Publications
  • Pope, Devin G, and Justin R Sydnor. ā€œImplementing Anti-Discrimination Policies in Statistical Profiling Models.ā€ American Economic Journal: Economic Policy 3, no. 3 (August 2011): 206ā€“31. https://doi.org/10.1257/pol.3.3.206.
    • ID: 10.1257/pol.3.3.206 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-13

Pope, Devin G.; Sydnor, Justin R. (2011): Replication data for: Implementing Anti-discrimination Policies in Statistical Profiling Models. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E114766V1