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Held back by homes: effects of domestic work on occupational choices of women in India

Author

Listed:
  • Arun Jose

    (Indian Institute of Technology Patna)

  • Meghna Dutta

    (Indian Institute of Technology Patna)

Abstract

Prevalent gender norms in India assign the primary responsibility of performing unpaid domestic and care work within households to women, hindering their labor market participation and limiting their occupational choices. Using data from the Time Use Survey 2019, this paper estimates the effect of the burden of domestic and care work on the occupational choices of women engaged in full-time work in India. We employ a latent class model to classify women into distinct groups based on their time-use patterns, effectively capturing the burden of domestic and care work and their level of engagement in economic activities. We then estimate the effects of the burden of domestic and care work on occupational choices using Propensity Score Matching. Our findings confirm that women's employment type and industry choices are influenced by their unpaid domestic and care workloads. Notably, women with a heavier burden of domestic and care work demonstrate a preference for self-employment compared to casual labor or regular wage or salaried employment. Additionally, we find evidence suggesting a heightened inclination toward female over-represented industries among women with heavier unpaid domestic and care workloads, leading to the deepening of occupational segregation of women in the labor market.

Suggested Citation

  • Arun Jose & Meghna Dutta, 2024. "Held back by homes: effects of domestic work on occupational choices of women in India," Indian Economic Review, Springer, vol. 59(2), pages 559-599, December.
  • Handle: RePEc:spr:inecre:v:59:y:2024:i:2:d:10.1007_s41775-024-00237-9
    DOI: 10.1007/s41775-024-00237-9
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    References listed on IDEAS

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    1. Richard K. Crump & V. Joseph Hotz & Guido W. Imbens & Oscar A. Mitnik, 2009. "Dealing with limited overlap in estimation of average treatment effects," Biometrika, Biometrika Trust, vol. 96(1), pages 187-199.
    2. Rahul Anand, 2013. "Gender stereotyping in Indian recruitment advertisements: a content analysis," International Journal of Business Governance and Ethics, Inderscience Enterprises Ltd, vol. 8(4), pages 306-322.
    3. Matias D. Cattaneo & David M. Drukker & Ashley D. Holland, 2013. "Estimation of multivalued treatment effects under conditional independence," Stata Journal, StataCorp LP, vol. 13(3), pages 407-450, September.
    4. Sandhya Mahapatro, 2019. "Female employment in India: determinants of choice of sector of activity," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(3), pages 748-759, August.
    5. Emily Oster, 2019. "Unobservable Selection and Coefficient Stability: Theory and Evidence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 187-204, April.
    6. Fletcher, Erin K. & Pande, Rohini & Moore, Charity Troyer, 2019. "Women and Work in India: Descriptive Evidence and a Review of Potential Policies," India Policy Forum, National Council of Applied Economic Research, vol. 15(1), pages 149-216.
    7. Tushar Agrawal, 2016. "Occupational Segregation in the Indian Labour Market," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 28(2), pages 330-351, April.
    8. Almudena Sevilla-Sanz & Jose Ignacio Gimenez-Nadal & Cristina Fernandez, 2010. "Gender Roles and the Division of Unpaid Work in Spanish Households," Feminist Economics, Taylor & Francis Journals, vol. 16(4), pages 137-184.
    9. Venkatram Ramaswamy & Wayne S. Desarbo & David J. Reibstein & William T. Robinson, 1993. "An Empirical Pooling Approach for Estimating Marketing Mix Elasticities with PIMS Data," Marketing Science, INFORMS, vol. 12(1), pages 103-124.
    10. Mary Borrowman & Stephan Klasen, 2020. "Drivers of Gendered Sectoral and Occupational Segregation in Developing Countries," Feminist Economics, Taylor & Francis Journals, vol. 26(2), pages 62-94, April.
    11. Laura M. Giurge & Ashley V. Whillans & Colin West, 2020. "Why time poverty matters for individuals, organisations and nations," Nature Human Behaviour, Nature, vol. 4(10), pages 993-1003, October.
    12. Bolck, Annabel & Croon, Marcel & Hagenaars, Jacques, 2004. "Estimating Latent Structure Models with Categorical Variables: One-Step Versus Three-Step Estimators," Political Analysis, Cambridge University Press, vol. 12(1), pages 3-27, January.
    13. Rajeev H. Dehejia & Sadek Wahba, 2002. "Propensity Score-Matching Methods For Nonexperimental Causal Studies," The Review of Economics and Statistics, MIT Press, vol. 84(1), pages 151-161, February.
    14. Athary Janiso & Prakash Kumar Shukla & Bheemeshwar Reddy A, 2024. "What explains the gender gap in unpaid housework and care work in India?," Development Policy Review, Overseas Development Institute, vol. 42(1), January.
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    More about this item

    Keywords

    Women; Occupational segregation; Domestic work; Time use; Unpaid work;
    All these keywords.

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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