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Estimating the Impact of Social Medical Insurance Schemes on Children’s Health and Hospital Use: The Chinese Case

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  • Jing Guana
  • J.D. Tena

Abstract

This study investigates the causal impact of acquiring social medical Insurance on hospital utilization and health status for children under 16 years old in China from 2010 to 2016. We consider the China Family Panel Studies (CFPS), a longitudinal database which allows us to control for the effect of unobserved individual heterogeneity by means of difference-in-difference regressions combined with matching regression techniques. Our findings suggest that participating in social medical insurance schemes significantly increases children’s yearly hospital use, especially for low income and rural children. Moreover, this increase is not significantly different for people who were not previously sick. It is also found that social medical insurance schemes have no effect or even a marginally negative effect on children’s health status in some cases. We discuss some potential explanations for this result.

Suggested Citation

  • Jing Guana & J.D. Tena, 2018. "Estimating the Impact of Social Medical Insurance Schemes on Children’s Health and Hospital Use: The Chinese Case," Working Papers 20188, University of Liverpool, Department of Economics.
    • Handle: RePEc:liv:livedp:20188
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    References listed on IDEAS

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    1. Oded Galor, 2005. "The Demographic Transition and the Emergence of Sustained Economic Growth," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 494-504, 04/05.
    2. Terza, Joseph V. & Basu, Anirban & Rathouz, Paul J., 2008. "Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling," Journal of Health Economics, Elsevier, vol. 27(3), pages 531-543, May.
    3. Chen, Yuyu & Jin, Ginger Zhe, 2012. "Does health insurance coverage lead to better health and educational outcomes? Evidence from rural China," Journal of Health Economics, Elsevier, vol. 31(1), pages 1-14.
    4. Omer Moav, 2005. "Cheap Children and the Persistence of Poverty," Economic Journal, Royal Economic Society, vol. 115(500), pages 88-110, January.
    5. Kosali Simon & Aparna Soni & John Cawley, 2017. "The Impact of Health Insurance on Preventive Care and Health Behaviors: Evidence from the First Two Years of the ACA Medicaid Expansions," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 36(2), pages 390-417, March.
    6. Oded_Galor, 2004. "The Demographic Transition and the Emergence of Sustained Economic Growth," Working Papers 2004-13, Brown University, Department of Economics.
    7. Waldron, Ingrid, 1983. "Sex differences in human mortality: The role of genetic factors," Social Science & Medicine, Elsevier, vol. 17(6), pages 321-333, January.
    8. Joseph Mensah & Joseph R. Oppong & Christoph M. Schmidt, 2010. "Ghana's national health insurance scheme in the context of the health MDGs: an empirical evaluation using propensity score matching," Health Economics, John Wiley & Sons, Ltd., vol. 19(S1), pages 95-106, September.
    9. Li, Xin & Zhang, Wei, 2013. "The impacts of health insurance on health care utilization among the older people in China," Social Science & Medicine, Elsevier, vol. 85(C), pages 59-65.
    10. Sarah Miller, 2012. "The Impact of the Massachusetts Health Care Reform on Health Care Use among Children," American Economic Review, American Economic Association, vol. 102(3), pages 502-507, May.
    11. Xiaoyan Lei & Wanchuan Lin, 2009. "The New Cooperative Medical Scheme in rural China: does more coverage mean more service and better health?," Health Economics, John Wiley & Sons, Ltd., vol. 18(S2), pages 25-46, July.
    12. Kosali Simon & Aparna Soni & John Cawley, 2016. "The Impact of Health Insurance on Preventive Care and Health Behaviors: Evidence from the 2014 ACA Medicaid Expansions," NBER Working Papers 22265, National Bureau of Economic Research, Inc.
    13. Liu, Yuanli, 2002. "Reforming China's urban health insurance system," Health Policy, Elsevier, vol. 60(2), pages 133-150, May.
    14. Liu, Gordon G. & Zhao, Zhongyun & Cai, Renhua & Yamada, Tetsuji & Yamada, Tadashi, 2002. "Equity in health care access to: assessing the urban health insurance reform in China," Social Science & Medicine, Elsevier, vol. 55(10), pages 1779-1794, November.
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    More about this item

    Keywords

    China; Social Medical Insurance; Health Outcomes; Difference-in-difference; Propensity Score Matching;
    All these keywords.

    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

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