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Does Social Health Insurance Reduce Financial Burden? Panel Data Evidence from India

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  • Azam, Mehtabul

Abstract

Indian government launched the Rashtriya Swasthya Bima Yojana (RSBY), a national health insurance scheme, in 2008 that provides cashless health services to poor households in India. We evaluate the impact of RSBY on RSBY beneficiary households’ (average treatment impact on treated, ATT) utilization of health services, per capita out-of-pocket (OOP) expenditure, and per patient OOP expenditure on major morbidities. To address the issue of non-randomness in enrollment into the scheme, we exploit the longitudinal aspect of a large nationally representative household survey data to implement difference-in-differences with matching. We find that RSBY beneficiary households are more likely to report and receive treatment for long-term morbidity in rural areas; however, the differences in reporting and treatment of long-term morbidity is not statistically significant in urban areas. We do not find strong evidence that the RSBY reduced per person OOP expenditure for RSBY beneficiary households in both rural and urban areas. Conditional on having received medical treatment, we find that RSBY beneficiary patient spend less on medicine in rural areas but no statistically significant impact in urban areas. We also conduct a placebo experiment to support the parallel trend assumption of DID.

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  • Azam, Mehtabul, 2018. "Does Social Health Insurance Reduce Financial Burden? Panel Data Evidence from India," World Development, Elsevier, vol. 102(C), pages 1-17.
  • Handle: RePEc:eee:wdevel:v:102:y:2018:i:c:p:1-17
    DOI: 10.1016/j.worlddev.2017.09.007
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    2. Samuel Ampaw & Simon Appleton & Xuyan Lou, 2020. "Heterogeneous effect of health insurance on financial risk: Evidence from two successive surveys in Ghana," Discussion Papers 2020-04, University of Nottingham, CREDIT.
    3. Puri, Raghav & Sun, Changqing, 2021. "Increasing utilization of public health insurance programs: Evidence from an experiment in India," World Development, Elsevier, vol. 139(C).
    4. Rinshu Dwivedi & Jalandhar Pradhan & Ramesh Athe, 2021. "Measuring catastrophe in paying for healthcare: A comparative methodological approach by using National Sample Survey, India," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(5), pages 1887-1915, September.
    5. Mohd Zuhair & Fuli Zhou & Saurabh Pratap & Ram Babu Roy, 2022. "Eliciting key attributes of health insurance in rural India: a qualitative analysis," SN Business & Economics, Springer, vol. 2(3), pages 1-28, March.
    6. Sengupta, Reshmi & Rooj, Debasis, 2019. "The effect of health insurance on hospitalization: Identification of adverse selection, moral hazard and the vulnerable population in the Indian healthcare market," World Development, Elsevier, vol. 122(C), pages 110-129.
    7. Rajesh Kamath & Helmut Brand & Nisha Nayak & Vani Lakshmi & Reena Verma & Prajwal Salins, 2023. "District-Level Patterns of Health Insurance Coverage and Out-of-Pocket Expenditure on Caesarean Section Deliveries in Public Health Facilities in India," Sustainability, MDPI, vol. 15(5), pages 1-17, March.
    8. Geng, Xin & Janssens, Wendy & Kramer, Berber & van der List, Marijn, 2018. "Health insurance, a friend in need? Impacts of formal insurance and crowding out of informal insurance," World Development, Elsevier, vol. 111(C), pages 196-210.

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    More about this item

    Keywords

    SHI; RSBY; IHDS; out-of-pocket expenditure; health services utilization;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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