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Race, gender, and party in EEOC cases, 1996–2006: Assessing the role of judge attributes in case outcomes in the US district courts

Sean Farhang et al.

American Journal of Political Science2026https://doi.org/10.1111/ajps.70032article
AJG 4*ABDC A*
Weight
0.50

What the paper says

We study the relationship between trial judge attributes and monetary outcomes in cases brought by the Equal Employment Opportunity Commission. We define an estimand, the average feature comparison (AFC), that addresses whether or not a case outcome would differ were it assigned to a judge of one type as opposed to another—here male versus female, White versus non‐White, or Republican versus Democratic appointee. We develop a framework for estimating the AFC that takes into consideration which judges are eligible to be randomly assigned to given cases. We find the probability a case results in nonzero relief is greater if that case were assigned to a non‐White judge than to a White judge, but the relief amount is not. For gender (party), we do not find evidence that the monetary outcome of a case would be different if it was assigned to a male (Democrat) rather than a female (Republican) judge.

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https://doi.org/https://doi.org/10.1111/ajps.70032

Or copy a formatted citation

@article{sean2026,
  title        = {{Race, gender, and party in EEOC cases, 1996–2006: Assessing the role of judge attributes in case outcomes in the US district courts}},
  author       = {Sean Farhang et al.},
  journal      = {American Journal of Political Science},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1111/ajps.70032},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.