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Estimating Demand for Long-term Care Insurance in Thailand: Evidence from a Discrete Choice Experiment

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  • Worawan Chandoevwit
  • Nada Wasi

Abstract

At present, the Thai public health insurance schemes cover medical care. However, the financial risk associated with long-term care needs is unprotected. The increasing likelihood of Thai elderly living longer and living alone has raised great concern about their quality of life. In the wake of the declining informal support capacity, a public long-term care insurance (LTCI) system has been considered as a potential alternative. Because the public will have to contribute to the LTCI fund, this paper explores whether the Thai people are willing to pay for such a provision. The LTCI demand is estimated based on the stated preference survey data. Our results show that most respondents are willing to pay to insure against their risk associated with long-term care expenditure, but their preferences are very heterogeneous. Gains and losses for different policy scenarios, measured by consumer surplus, are discussed.

Suggested Citation

  • Worawan Chandoevwit & Nada Wasi, 2019. "Estimating Demand for Long-term Care Insurance in Thailand: Evidence from a Discrete Choice Experiment," PIER Discussion Papers 106, Puey Ungphakorn Institute for Economic Research.
    • Handle: RePEc:pui:dpaper:106
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    References listed on IDEAS

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    1. Frederik T. Schut & Bernard Berg, 2012. "Long-Term Care Insurance in the Netherlands," Palgrave Macmillan Books, in: Joan Costa-Font & Christophe Courbage (ed.), Financing Long-Term Care in Europe, chapter 7, pages 103-124, Palgrave Macmillan.
    2. Rinaldo Brau & Matteo Lippi Bruni, 2008. "Eliciting the demand for long‐term care coverage: a discrete choice modelling analysis," Health Economics, John Wiley & Sons, Ltd., vol. 17(3), pages 411-433, March.
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    4. Burda, Martin & Harding, Matthew & Hausman, Jerry, 2008. "A Bayesian mixed logit-probit model for multinomial choice," Journal of Econometrics, Elsevier, vol. 147(2), pages 232-246, December.
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    6. Carol Propper, 1995. "The Disutility of Time Spent on the United Kingdom's National Health Service Waiting Lists," Journal of Human Resources, University of Wisconsin Press, vol. 30(4), pages 677-700.
    7. Hsiao,Cheng & Pesaran,M. Hashem & Lahiri,Kajal & Lee,Lung Fei (ed.), 1999. "Analysis of Panels and Limited Dependent Variable Models," Cambridge Books, Cambridge University Press, number 9780521631693.
    8. Joan Costa-Font & Christophe Courbage (ed.), 2012. "Financing Long-Term Care in Europe," Palgrave Macmillan Books, Palgrave Macmillan, number 978-0-230-34919-3.
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    Cited by:

    1. Yong Wei & Liangwen Zhang, 2020. "Analysis of the Influencing Factors on the Preferences of the Elderly for the Combination of Medical Care and Pension in Long-Term Care Facilities Based on the Andersen Model," IJERPH, MDPI, vol. 17(15), pages 1-14, July.

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    More about this item

    Keywords

    Long-term Care Insurance; Discrete Choice Experiment; Discrete Choice Model; Unobserved Heterogeneity; Demand for LTCI; Willingness to Pay;
    All these keywords.

    JEL classification:

    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being
    • J58 - Labor and Demographic Economics - - Labor-Management Relations, Trade Unions, and Collective Bargaining - - - Public Policy
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

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