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Household Financial Vulnerability to Income and Medical Expenditure Shocks: Measurement and Determinants

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  • Lei He

    (Hunan Key Laboratory of Macroeconomic Big Data Mining and Its Application, School of Business, Hunan Normal University, Changsha 410081, China)

  • Shuyi Zhou

    (Hunan Key Laboratory of Macroeconomic Big Data Mining and Its Application, School of Business, Hunan Normal University, Changsha 410081, China)

Abstract

This paper proposes a novel ex ante indicator to measure the degree of household financial vulnerability by calculating the probability of falling into financial distress under uncertain income and medical expenditure. The advantage of this measure is that it can reflect the capacity of households to deal with income shock and medical expenditure shock and quantify the degree of financial vulnerability for households beforehand. We employ it to measure the financial vulnerability of Chinese urban and rural households separately by using data from the China Health and Retirement Longitudinal Study (CHARLS) 2011, 2013, and 2015. Further, we analyze the potential determinants and their contributions to financial vulnerability changes. We find that rural households experience higher financial vulnerability than urban households. Furthermore, the investigation into the effects of potential determinants suggests that demographic variables (including age, gender, education, marital status, household size, labor force, and area), health-related variables (including health status, disability, and health shock), and medical insurance variables (including urban employee medical insurance and commercial medical insurance) have significant effects on the financial vulnerability of both urban and rural households. Contribution analysis of the determinants of household financial vulnerability shows that variables including disability, health shock, household size, labor force, and education contribute most to the changes in financial vulnerability.

Suggested Citation

  • Lei He & Shuyi Zhou, 2022. "Household Financial Vulnerability to Income and Medical Expenditure Shocks: Measurement and Determinants," IJERPH, MDPI, vol. 19(8), pages 1-17, April.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:8:p:4480-:d:789297
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    References listed on IDEAS

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    1. Xu, Yilan & Briley, Daniel A. & Brown, Jeffrey R. & Roberts, Brent W., 2017. "Genetic and environmental influences on household financial distress," Journal of Economic Behavior & Organization, Elsevier, vol. 142(C), pages 404-424.
    2. Uche M. Ozughalu & Fidelis O. Ogwumike, 2013. "Vulnerability to Food Poverty in Nigeria," African Development Review, African Development Bank, vol. 25(3), pages 243-255, September.
    3. Annamaria Lusardi & Daniel Schneider & Peter Tufano, 2011. "Financially Fragile Households: Evidence and Implications," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 42(1 (Spring), pages 83-150.
    4. Atif Mian & Amir Sufi, 2011. "House Prices, Home Equity-Based Borrowing, and the US Household Leverage Crisis," American Economic Review, American Economic Association, vol. 101(5), pages 2132-2156, August.
    5. Liaqat Ali & Muhammad Kamran Naqi Khan & Habib Ahmad, 2020. "Financial Fragility of Pakistani Household," Journal of Family and Economic Issues, Springer, vol. 41(3), pages 572-590, September.
    6. Shubhasis Dey & Ramdane Djoudad & Yaz Terajima, 2008. "A Tool for Assessing Financial Vulnerabilities in the Household Sector," Bank of Canada Review, Bank of Canada, vol. 2008(Summer), pages 47-56.
    7. Hill, Ruth Vargas & Porter, Catherine, 2017. "Vulnerability to Drought and Food Price Shocks: Evidence from Ethiopia," World Development, Elsevier, vol. 96(C), pages 65-77.
    8. Ampudia, Miguel & van Vlokhoven, Has & Żochowski, Dawid, 2016. "Financial fragility of euro area households," Journal of Financial Stability, Elsevier, vol. 27(C), pages 250-262.
    9. Uche M. Ozughalu & Fidelis Ogwumike, 2013. "Vulnerability to Food Poverty in Nigeria," African Development Review, African Development Bank, vol. 25(3), pages 243-255.
    10. Mindaugas Leika & Daniela Marchettini, 2017. "A Generalized Framework for the Assessment of Household Financial Vulnerability," IMF Working Papers 2017/228, International Monetary Fund.
    11. Cifuentes, Rodrigo & Margaretic, Paula & Saavedra, Trinidad, 2020. "Measuring households' financial vulnerabilities from consumer debt: Evidence from Chile," Emerging Markets Review, Elsevier, vol. 43(C).
    12. Yuan Zhang & Guanghua Wan, 2006. "An Empirical Analysis of Household Vulnerability in Rural China," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 11(2), pages 196-212.
    13. Sarah Brown & Karl Taylor, 2008. "Household debt and financial assets: evidence from Germany, Great Britain and the USA," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 171(3), pages 615-643, June.
    14. Lin, Justin Yifu, 1992. "Rural Reforms and Agricultural Growth in China," American Economic Review, American Economic Association, vol. 82(1), pages 34-51, March.
    15. Amemiya, Takeshi, 1977. "The Maximum Likelihood and the Nonlinear Three-Stage Least Squares Estimator in the General Nonlinear Simultaneous Equation Model," Econometrica, Econometric Society, vol. 45(4), pages 955-968, May.
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