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Health shock, medical insurance and financial asset allocation: evidence from CHFS in China

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  • Liu, Yaxuan
  • Hao, Yu
  • Lu, Zhi Nan

Abstract

Background: As health care cost is taking an increasingly substantial proportion of national wealth, health shocks and the subsequent medical expenditures have become increasingly vital contributions to financial risks. However, the individual or combined effects of social and financial medical insurance on household financial behaviors are poorly understood. This research aims to examine the effect of health shocks on financial asset mobility and portfolio allocation of the household. Also, whether medical insurance positively affects the financial market will be analyzed. Methods: Linear-regression models are used to determine the relationship between health shock, medical insurance, and household financial behaviors, including liquidity measures and financial portfolio (risk and risk-free assets). Two types of variables (transition probability and upward mobility) are constructed to measure the aggregate-level financial asset mobility. The portfolio of financial assets is categorized according to the risk it bears. Results: Households which experience health shocks are found to exhibit lower transition probability and upward mobility of financial assets than households that do not, and health shocks pose a more serious threat to low-income households. From the inter-temporal perspective, households that have medical insurance exhibit a higher probability of raising their position within the national financial asset distribution, and are more inclined to invest in the risky financial assets. Commercial insurance displays a larger marginal effect on financial asset allocation than social insurance. Our study results highlight an essential link between health shocks, medical insurance, and household financial behavior. Conclusion: This work identified and described the relationship between health-related factors (health shock and two types of medical insurance) and household financial behaviors (risky investment involvement and class mobility in financial asset). A strong link exists between the health and financial market, with heterogenous effects between urban and rural groups, households with distinct income levels, etc. A multilayered insurance system would be helpful to facilitate household income, financial consumption, and economic growth.

Suggested Citation

  • Liu, Yaxuan & Hao, Yu & Lu, Zhi Nan, 2022. "Health shock, medical insurance and financial asset allocation: evidence from CHFS in China," LSE Research Online Documents on Economics 117277, London School of Economics and Political Science, LSE Library.
  • Handle: RePEc:ehl:lserod:117277
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    References listed on IDEAS

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    1. Bodie, Zvi & Merton, Robert C. & Samuelson, William F., 1992. "Labor supply flexibility and portfolio choice in a life cycle model," Journal of Economic Dynamics and Control, Elsevier, vol. 16(3-4), pages 427-449.
    2. David A. Love & Paul A. Smith, 2010. "Does health affect portfolio choice?," Health Economics, John Wiley & Sons, Ltd., vol. 19(12), pages 1441-1460, December.
    3. Raj Chetty & John N Friedman & Emmanuel Saez & Nicholas Turner & Danny Yagan, 2020. "Income Segregation and Intergenerational Mobility Across Colleges in the United States," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 135(3), pages 1567-1633.
    4. Amy Finkelstein & Erzo F. P. Luttmer & Matthew J. Notowidigdo, 2013. "What Good Is Wealth Without Health? The Effect Of Health On The Marginal Utility Of Consumption," Journal of the European Economic Association, European Economic Association, vol. 11, pages 221-258, January.
    5. Courtney Coile & Kevin Milligan, 2009. "How Household Portfolios Evolve After Retirement: The Effect Of Aging And Health Shocks," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 55(2), pages 226-248, June.
    6. Samwick, Andrew A., 1998. "Tax Reform and Target Saving," National Tax Journal, National Tax Association;National Tax Journal, vol. 51(3), pages 621-635, September.
    7. Guiso, Luigi & Sodini, Paolo, 2013. "Household Finance: An Emerging Field," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1397-1532, Elsevier.
    8. Haliassos, Michael & Bertaut, Carol C, 1995. "Why Do So Few Hold Stocks?," Economic Journal, Royal Economic Society, vol. 105(432), pages 1110-1129, September.
    9. Fan, Elliott & Zhao, Ruoyun, 2009. "Health status and portfolio choice: Causality or heterogeneity?," Journal of Banking & Finance, Elsevier, vol. 33(6), pages 1079-1088, June.
    10. Debopam Bhattacharya & Bhashkar Mazumder, 2011. "A nonparametric analysis of black–white differences in intergenerational income mobility in the United States," Quantitative Economics, Econometric Society, vol. 2(3), pages 335-379, November.
    11. Lusardi, Annamaria, 1998. "On the Importance of the Precautionary Saving Motive," American Economic Review, American Economic Association, vol. 88(2), pages 449-453, May.
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    More about this item

    Keywords

    China; financial asset allocation; financial asset mobility; health shock; medical insurance;
    All these keywords.

    JEL classification:

    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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