TY  - JOUR
ID  - publications50042
UR  - http://tse-fr.eu/pub/130079
IS  - n° 2
A1  - Bhupatiraju, Sandeep
A1  - Chen, Daniel L.
A1  - Joshi, Shareen
A1  - Neis, Peter
N2  - 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.
VL  - vol. 1
TI  - Caste Aside? Names, Networks and Justice in the Courts of Bihar, India
AV  - none
EP  - 178
Y1  - 2024///
PB  - Juridiska institutionen
JF  - European Journal of Empirical Legal Studies
KW  - inequality
KW  - social identity
KW  - justice
SN  - 2004-8556
SP  - 151
ER  -