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Heterogeneity of the effects of health insurance on household savings: Evidence from rural China

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Abstract

This paper estimates the impact of the New Cooperative Medical Scheme (NCMS) on household saving across income quartiles in rural China. We use data from the China Health and Nutrition Survey for the 2006 wave and we run an ordinary least squares regression. We control for the endogeneity of NCMS participation by using an instrumental variable strategy. We find evidence that NCMS has a negative impact on savings of lower-middle-income participants, while it does not affect the poorest households. The negative effect of NCMS on savings of middle-income participants holds when we use propensity score matching estimations as a robustness check

Suggested Citation

  • Diana Cheung & Ysaline Padieu, 2013. "Heterogeneity of the effects of health insurance on household savings: Evidence from rural China," Documents de travail du Centre d'Economie de la Sorbonne 13056, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
    • Handle: RePEc:mse:cesdoc:13056
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    References listed on IDEAS

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    1. Zhang, Xiaobo & Kanbur, Ravi, 2005. "Spatial inequality in education and health care in China," China Economic Review, Elsevier, vol. 16(2), pages 189-204.
    2. Jonathan Gruber & Aaron Yelowitz, 1999. "Public Health Insurance and Private Savings," Journal of Political Economy, University of Chicago Press, vol. 107(6), pages 1249-1274, December.
    3. Marcos D. Chamon & Eswar S. Prasad, 2010. "Why Are Saving Rates of Urban Households in China Rising?," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 93-130, January.
    4. Edwin Leuven & Barbara Sianesi, 2003. "PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing," Statistical Software Components S432001, Boston College Department of Economics, revised 01 Feb 2018.
    5. Aart Kraay, 2000. "Household Saving in China," The World Bank Economic Review, World Bank, vol. 14(3), pages 545-570, September.
    6. Dong, Keyong, 2009. "Medical insurance system evolution in China," China Economic Review, Elsevier, vol. 20(4), pages 591-597, December.
    7. Barbara Sianesi, 2001. "Propensity score matching," United Kingdom Stata Users' Group Meetings 2001 12, Stata Users Group, revised 23 Aug 2001.
    8. Alex Maynard & Jiaping Qiu, 2009. "Public insurance and private savings: who is affected and by how much?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(2), pages 282-308, March.
    9. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
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    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. #HEJC papers for September 2013
      by academichealtheconomists in The Academic Health Economists' Blog on 2013-09-01 04:01:38

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    Cited by:

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    2. Panos Kanavos & Olivier Wouters & Olivier J. Wouters & Martin McKee, 2017. "Private Financing of Health Care in Times of Economic Crisis: a Review of the Evidence," Global Policy, London School of Economics and Political Science, vol. 8, pages 23-29, March.
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    More about this item

    Keywords

    Rural China; New Cooperative Medical Scheme; health insurance; Chinese savings and consumption; propensity score matching;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • D1 - Microeconomics - - Household Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • O53 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Asia including Middle East

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