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Federal District Judge Gender and Reversals

Authors: Royce de Rohan Barondes;

Federal District Judge Gender and Reversals

Abstract

Choi, Gulati, Holman and Posner ask, "Do women make better judges?" Their results, as they summarize them, are not informative. They merely cannot reject the possibility of an absence of a relationship between gender and the particular measures they examine. This paper, focusing on reversals of federal district court judges, provides information more directly relevant to answering the question they posed, albeit not as to women as a whole but rather as among the limited set of men and women who are confirmed as judges. There is a consistent pattern of lower likelihood of reversal in summary statistics, overall and within each subsample of judges appointed by the three represented Presidents. The same pattern is found in the estimations, including a hierarchical linear model with random effects, which show women with statistically significant lower odds of reversal of between 6.6% to 8.9%. The only exception is the subset of opinions not having been assigned a primary case type by Westlaw. These include appellate dispositions presenting procedural matters, as well as perfunctory dispositions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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