Working women and caste in India: A study of social disadvantage using feature attribution
Econometrics
2020-01-06 v2 Machine Learning
Applications
Machine Learning
Abstract
Women belonging to the socially disadvantaged caste-groups in India have historically been engaged in labour-intensive, blue-collar work. We study whether there has been any change in the ability to predict a woman's work-status and work-type based on her caste by interpreting machine learning models using feature attribution. We find that caste is now a less important determinant of work for the younger generation of women compared to the older generation. Moreover, younger women from disadvantaged castes are now more likely to be working in white-collar jobs.
Keywords
Cite
@article{arxiv.1905.03092,
title = {Working women and caste in India: A study of social disadvantage using feature attribution},
author = {Kuhu Joshi and Chaitanya K. Joshi},
journal= {arXiv preprint arXiv:1905.03092},
year = {2020}
}
Comments
Presented at the ICLR AI for Social Good Workshop 2019; Updated with Addendum (Jan 2020)