Does Access to Formal Agricultural Credit Depend on Caste

By Sunil Kumar. 2013

102 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science, Soil Science, Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Sociology and Political Science

1. Vinodkumar Prabhakaran
2. Ben Hutchinson
3. Nithya Sambasivan

In Natural Language Processing

1. Ben Hutchinson
2. Nithya Sambasivan
3. Vinodkumar Prabhakaran

Citations in the corpus

• Re-imagining Algorithmic Fairness in India and Beyond (2021, background): “predictive policing in New Delhi [127], caste [202] and ethnicity [15] biases in job applications, call-center job callbacks [27], castebased wage-gaps [124], caste discrimination in agricultural loans decisions [116], and even in online matrimonial ads [157].”
• Opportunities and Challenges for Artificial Intelligence in India (2018, background): “Sadly it continues to perpetuate discrimination in subversive and invisible ways, affecting wages (Banerjee and Knight 1985), employment (Attewell and Madheswaran 2007), imprisonment rates (National Crime Record Bureau 2016), and access to credit from banks (Kumar 2013).”