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Quarterly Journal of Economics Vol. 140 No. 3 2025

Systemic Discrimination: Theory and Measurement

J. Aislinn Bohren1; Peter Hull2; Alex Imas3

1 University of Pennslyvania , · 2 Brown University · 3 University of Chicago

open access

Abstract

Economists often measure discrimination as disparities arising from the direct effects of group identity. We develop new tools to model and measure systemic discrimination, capturing how discrimination in other decisions indirectly contributes to disparities. A novel experimental design, the iterated audit, identifies systemic discrimination. We illustrate these new tools in two field experiments. The first experiment shows how racial discrimination can accumulate across multiple rounds of hiring through the interaction of two forces: greater discrimination against inexperienced workers, which affects the opportunity to obtain experience, and high subsequent returns to experience. The second experiment shows how gender-based differences in the language of recommendation letters can translate into systemic gender discrimination in STEM hiring. We discuss how our findings qualify previous results on direct discrimination and how our tools can be used to target policy interventions.

DOI
10.1093/qje/qjaf022
Volume
140
Issue
3
Pages
1743-1799
Language
en
Sources
bibtex:phds-export.bib openalex crossref

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