Word Embeddings Vector Data for "Gender Attitudes in the Judiciary: Evidence from U.S. Circuit Courts"

This repository includes the trained word embedding vectors for the paper "Gender Attitudes in the Judiciary: Evidence from U.S. Circuit Courts". Published in American Economic Journal: Applied Economics (2023), available at aeaweb.org/articles?id=10.1257/app.20210435. Abstract of paper: Do gender attitudes influence interactions with female judges in U.S. Circuit Courts?

In this paper, we propose a judge-specific measure of gender attitudes based on use of gender-stereotyped language in the judge’s authored opinions. Exploiting quasi-random assignment of judges to cases and conditioning on judges’ characteristics, we validate the measure showing that higher-slant judges vote more conservatively in gender-related cases. Higher-slant judges interact differently with female colleagues: they are more likely to reverse lower-court decisions if the lower-court judge is a woman than a man, are less likely to assign opinions to female judges, and cite fewer female-authored opinions.