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Women Left Behind: Gender Disparities in Utilization of Government Health Insurance in India

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  • Pascaline Dupas
  • Radhika Jain

Abstract

We document large gender disparities within a government program that entitles 46 million poor individuals to free hospital care. We show that care is not free in practice and higher costs are associated with larger disparities. Lowering care costs increases female utilization but does not reduce gender disparities because marginal beneficiaries are as likely to be male as inframarginals. Long-term exposure to local female leaders reduces disparities by addressing factors lowering female care. In the presence of gender bias, subsidizing social services may fail to address gender inequalities without actions that specifically target females.

Suggested Citation

  • Pascaline Dupas & Radhika Jain, 2024. "Women Left Behind: Gender Disparities in Utilization of Government Health Insurance in India," American Economic Review, American Economic Association, vol. 114(10), pages 3345-3385, October.
  • Handle: RePEc:aea:aecrev:v:114:y:2024:i:10:p:3345-85
    DOI: 10.1257/aer.20230521
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    References listed on IDEAS

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    1. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    2. Susan Athey & Guido W. Imbens, 2017. "The State of Applied Econometrics: Causality and Policy Evaluation," Journal of Economic Perspectives, American Economic Association, vol. 31(2), pages 3-32, Spring.
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    Cited by:

    1. Anaka Aiyar & Naveen Sunder, 2024. "Health insurance and child mortality: Evidence from India," Health Economics, John Wiley & Sons, Ltd., vol. 33(5), pages 870-893, May.
    2. Bhattacharya, Titir & Chakraborty, Tanika & Mukherjee, Anirban, 2024. "Demand for Health Insurance: Financial and Informational role of Informal Networks," SocArXiv 2mq5v, Center for Open Science.
    3. Dareen Latif & Hamna Ahmed, 2022. "Distance and health facility choice: Evidence from a health micro insurance program in Punjab, Pakistan," International Journal of Health Planning and Management, Wiley Blackwell, vol. 37(6), pages 3172-3191, November.
    4. Shubhangi Agrawal & Sambit Bhattacharyya & Chirantan Chatterjee & Somdeep Chatterjee, 2024. "Income shock and Women’s Health Spending:Evidence from India," Working Paper Series 1324, Department of Economics, University of Sussex Business School.

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    More about this item

    JEL classification:

    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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