Working women and caste in India: A study of social disadvantage using feature attribution

Kuhu Joshi and Chaitanya K. Joshi

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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.

Date: 2019-04, Revised 2020-01
New Economics Papers: this item is included in nep-big and nep-hme
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