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

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  • Kuhu Joshi
  • Chaitanya K. Joshi

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.

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  • Kuhu Joshi & Chaitanya K. Joshi, 2019. "Working women and caste in India: A study of social disadvantage using feature attribution," Papers 1905.03092, arXiv.org, revised Jan 2020.
    • Handle: RePEc:arx:papers:1905.03092
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    3. Bhalla, Surjit & Kaur, Ravinder, 2011. "Labour force participation of women in India: some facts, some queries," LSE Research Online Documents on Economics 38367, London School of Economics and Political Science, LSE Library.
    4. Mukesh Eswaran & Bharat Ramaswami & Wilima Wadhwa, 2013. "Status, Caste, and the Time Allocation of Women in Rural India," Economic Development and Cultural Change, University of Chicago Press, vol. 61(2), pages 311-333.
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