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Effects of National Health Insurance on precautionary saving: new evidence from Taiwan

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  • Chung-Ming Kuan
  • Chien-Liang Chen

Abstract

In this article, we evaluate the crowd-out effects of the National Health Insurance (NHI) on household precautionary saving in Taiwan. Our analysis differs from existing studies in two respects. First, we do not exclude the households with negative saving that are about 18.9% of the entire sample. Second, we conduct a more complete treatment effect analysis. We estimate both average treatment effect (ATE) and quantile treatment effect (QTE) using the difference-in-differences method. We also partition some covariates (household income and the age of household head) into different groups and estimate the group-wise ATEs and QTEs. While supporting the existing finding that the NHI has negative impact on households saving, our empirical result shows that the QTEs are heterogeneous across saving quantiles, such that higher savers tend to have greater reduction in saving after the NHI is enforced. It is also found that the NHI has greater impact on the households with higher income and those with retiring heads, especially on high savers in these groups. Copyright Springer-Verlag 2013

Suggested Citation

  • Chung-Ming Kuan & Chien-Liang Chen, 2013. "Effects of National Health Insurance on precautionary saving: new evidence from Taiwan," Empirical Economics, Springer, vol. 44(2), pages 921-943, April.
  • Handle: RePEc:spr:empeco:v:44:y:2013:i:2:p:921-943
    DOI: 10.1007/s00181-011-0533-5
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    2. Manger, Mark S. & Matthews, J. Scott, 2021. "Knowing when to splurge: Precautionary saving and Chinese-Canadians," Journal of Asian Economics, Elsevier, vol. 76(C).
    3. Chen, Chien-Hsun, 2023. "Is Taiwan’s Declining Public Investment a Crisis in the Making?," MPRA Paper 116513, University Library of Munich, Germany.
    4. Juan Rodriguez-Poo & Alexandra Soberón, 2015. "Differencing techniques in semi-parametric panel data varying coefficient models with fixed effects: a Monte Carlo study," Computational Statistics, Springer, vol. 30(3), pages 885-906, September.
    5. Joan Costa‐Font & Edward C. Norton & Luigi Siciliani & Joan Costa‐Font & Cristina Vilaplana‐Prieto, 2017. "Does the Expansion of Public Long‐Term Care Funding Affect Saving Behaviour?," Fiscal Studies, Institute for Fiscal Studies, vol. 38, pages 417-443, September.
    6. Lee, Daeyong, 2016. "Effects of dependent coverage mandate on household precautionary savings: Evidence from the 2010 Affordable Care Act," Economics Letters, Elsevier, vol. 147(C), pages 32-37.
    7. Mark S. Manger & J. Scott Matthews, 2021. "Knowing When to Splurge: Precautionary Saving and Chinese-Canadians," Papers 2108.00519, arXiv.org.
    8. Lugilde, Alba & Bande, Roberto & Riveiro, Dolores, 2017. "Precautionary Saving: a review of the theory and the evidence," MPRA Paper 77511, University Library of Munich, Germany.
    9. Shuheng Yu & Xinxin Ma & Peng Zhan, 2024. "Effects of the Resident Basic Medical Insurance Reform on Household Consumption in China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 32(1), pages 96-129, January.
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    More about this item

    Keywords

    Average treatment effect; Difference-in-differences; National Health Insurance; Precautionary saving; Quantile treatment effect; D12; I18; I38;
    All these keywords.

    JEL classification:

    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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