Measuring Gender and Religious Bias in the Indian Judiciary

Elliott Ash, Sam Asher (), Aditi Bhowmick, Sandeep Bhupatiraju, Daniel L. Chen, Tatanya Devi, Christoph Goessmann, Paul Novosad and Bilal Siddiqi

No 22-1395, TSE Working Papers from Toulouse School of Economics (TSE)

Abstract: We study judicial in-group bias in Indian criminal courts, collecting data on over 80 million legal case records from 2010–2018. We exploit quasi-random assignment of judges and changes in judge cohorts to examine whether defendant outcomes are affected by being assigned to a judge with a similar religious or gender identity. We estimate tight zero effects of in-group bias. The upper end of our 95% confidence interval rejects effect sizes that are one-fifth of those in most of the prior literature.

JEL-codes: J15 J16 K4 O12 (search for similar items in EconPapers)
Date: 2022-12-16
New Economics Papers: this item is included in nep-gen and nep-law
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Citations: View citations in EconPapers (2)

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Working Paper: Measuring Gender and Religious Bias in the Indian Judiciary (2023)
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