%0 Journal Article
%@ 2004-8556
%A Bhupatiraju, Sandeep
%A Chen, Daniel L.
%A Joshi, Shareen
%A Neis, Peter
%D 2024
%F publications:50042
%I Juridiska institutionen
%J European Journal of Empirical Legal Studies
%K inequality
%K social identity
%K justice
%N n° 2
%P 151-178
%R 10.62355/ejels.23821
%T Caste Aside? Names, Networks and Justice in the Courts of Bihar, India
%U https://publications.ut-capitole.fr/id/eprint/50042/
%V vol. 1
%X This study investigates the impact of social identity on judicial processes and outcomes at the Patna High Court over a decade (2009 to 2019). We employ machine learning algorithms to infer caste status from surnames (names) in court records. We note that a majority of court participants have ‘caste-neutral’ names. Though we find no evidence of name-based ‘matching’ between litigants and judges, caste-neutral petitioners are 3.3% more likely to choose a caste-neutral advocate. Matching, whether intentional or coincidental, yields notable consequences. Litigants with caste-neutral names who matched with similar judges face a higher likelihood of case dismissal and lower success rates in overturning appeals. However, advocates with caste-neutral names experience less disadvantage in these scenarios. Notably, the adoption of caste-neutral names, while offering some protection, does not fully mitigate the vulnerabilities faced by citizens within India's judicial institutions.