Intersectionality: Affirmative Action with Multidimensional Identities

Carvalho, Jean-Paul; Pradelski, Bary R. S.; Williams, Cole

Abstract

Studying the design of affirmative action policies when identities are multidimensional, we provide a formal demonstration of the importance of intersectionality. Prevailing affirmative action policies are based only on one identity dimension (e.g., race, gender, socioeconomic class). We find that any such nonintersectional policy can almost never achieve a representative outcome. In fact, nonintersectional policies often increase the underrepresentation of underrepresented groups in a manner undetected by standard measures. Examples based on race and gender reveal significant hidden inequality arising from nonintersectional policies. We show how to construct intersectional policies that achieve proportional representation.

Citation

Carvalho, J.-P., Pradelski, B. R. S., & Williams, C. (online). Intersectionality: Affirmative Action with Multidimensional Identities. Management Science, https://doi.org/10.1287/mnsc.2023.03839

• Journal Article Type: Article
• Acceptance Date: Jul 5, 2024
• Online Publication Date: Sep 13, 2024
• Deposit Date: Jul 8, 2024
• Publicly Available Date: Sep 13, 2024
• Journal: Management Science
• Print ISSN: 0025-1909
• Electronic ISSN: 1526-5501
• Publisher: Institute for Operations Research and Management Sciences
• Peer Reviewed: Peer Reviewed
• DOI: https://doi.org/10.1287/mnsc.2023.03839
• Keywords: Affirmative action; education; inequality; underrepresentation; identity; intersectionality
• Public URL: https://durham-repository.worktribe.com/output/2521311