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Dynamic process of adverse selection: Evidence from a subsidized community-based health insurance in rural China

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  • Zhang, Licheng
  • Wang, Hong

Abstract

This article examines the changes of adverse selection over time during a 3-year subsidized, voluntary-based Community Health Insurance (CHI) scheme in rural China. The data came from a 4-year longitudinal social experimental study (2002-2006) on the CHI in Fengsan Township, Guizhou Province of China. A panel of 8198 observations (average of 2730 individuals) was analyzed using random effect logit model. We found that the effect of health status on the enrollment choice of the CHI scheme was significant. People with chronic condition history, with fair health, and with poor health were more likely to enroll in the scheme than those without chronic condition and with good health status. In addition, we found that almost all of the interaction terms of the health status variables and CHI wave variable were not significant, which indicates that the effects of adverse selection have not significantly changed over time. Furthermore, people with medium income and high income were more likely to enroll in the scheme compared to those with low income. This shows that adverse selection persisted in the subsequent enrollments of the CHI scheme, even with the government subsidy to the premium. However, adverse selection did not become more or less severe over time and worked through to a steady state. In addition, inequity of enrollment still exists under the current premium subsidy policy. Based on the findings, relevant policy implications are put forward to further improve the CHI scheme.

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  • Zhang, Licheng & Wang, Hong, 2008. "Dynamic process of adverse selection: Evidence from a subsidized community-based health insurance in rural China," Social Science & Medicine, Elsevier, vol. 67(7), pages 1173-1182, October.
  • Handle: RePEc:eee:socmed:v:67:y:2008:i:7:p:1173-1182
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    8. Fischer, Torben & Frölich, Markus & Landmann, Andreas, 2018. "Adverse Selection in Low-Income Health Insurance Markets: Evidence from a RCT in Pakistan," IZA Discussion Papers 11751, Institute of Labor Economics (IZA).
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    10. Adam Wagstaff & Winnie Yip & Magnus Lindelow & William C. Hsiao, 2009. "China's health system and its reform: a review of recent studies," Health Economics, John Wiley & Sons, Ltd., vol. 18(S2), pages 7-23, July.
    11. Li, Cheng & Yu, Xuan & Butler, James R.G. & Yiengprugsawan, Vasoontara & Yu, Min, 2011. "Moving towards universal health insurance in China: Performance, issues and lessons from Thailand," Social Science & Medicine, Elsevier, vol. 73(3), pages 359-366, August.
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    14. Ruo Jia & Zenan Wu, 2019. "Insurer commitment and dynamic pricing pattern," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 44(1), pages 87-135, March.
    15. Martin Eling & Ruo Jia & Yi Yao, 2017. "Between-Group Adverse Selection: Evidence From Group Critical Illness Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 84(2), pages 771-809, June.
    16. Li, Xiaoxue & Tian, Liu, 2020. "The effect of non-employment-based health insurance program on firm's offering of health insurance: Evidence from the social health insurance system in China," Journal of Comparative Economics, Elsevier, vol. 48(4), pages 997-1010.
    17. Feng, Zhenhua & Lien, Jaimie W. & Zheng, Jie, 2020. "Flexible or mandatory retirement? Welfare implications of retirement policies for a population with heterogeneous health conditions," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 1032-1055.
    18. Yang, Miaoqing, 2018. "Demand for social health insurance: Evidence from the Chinese New Rural Cooperative Medical Scheme," China Economic Review, Elsevier, vol. 52(C), pages 126-135.
    19. Xiong, Juyang & Hipgrave, David & Myklebust, Karoline & Guo, Sufang & Scherpbier, Robert W. & Tong, Xuetao & Yao, Lan & Moran, Andrew E., 2013. "Child health security in China: A survey of child health insurance coverage in diverse areas of the country," Social Science & Medicine, Elsevier, vol. 97(C), pages 15-19.

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