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On potential information asymmetries in long-term care insurance: A simulation study using data from Switzerland

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  • Ugarte Montero, Andrey
  • Wagner, Joël

Abstract

The long-term care insurance (LTCI) market in Switzerland is still in a very early development stage. In this work, we make use of a representative sample of the Swiss population to simulate the likely effects of previously discovered information asymmetries in the LTCI market. By resorting to LTCI preferences of potential customers, and using Monte Carlo simulations, we provide estimations of the expected probability and duration of dependence indicators. Thereby, we compare the frequency and severity of the sub-population that has shown interest in LTCI with the rest in different mortality scenarios. While in the Swiss demographic context, individuals have a high probability to experience loss of autonomy in their lifetime, we do not find evidence to believe that those interested in LTCI coverage are so based on privileged information about them being at greater risk. In fact, we discover that most people are not aware of their own risk to lose autonomy, which makes potential adverse selection in the LTCI market rather difficult.

Suggested Citation

  • Ugarte Montero, Andrey & Wagner, Joël, 2023. "On potential information asymmetries in long-term care insurance: A simulation study using data from Switzerland," Insurance: Mathematics and Economics, Elsevier, vol. 111(C), pages 230-241.
  • Handle: RePEc:eee:insuma:v:111:y:2023:i:c:p:230-241
    DOI: 10.1016/j.insmatheco.2023.04.003
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    References listed on IDEAS

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    1. Kunreuther, Howard & Slovic, Paul, 1978. "Economics, Psychology, and Protective Behavior," American Economic Review, American Economic Association, vol. 68(2), pages 64-69, May.
    2. Booth, Heather, 2006. "Demographic forecasting: 1980 to 2005 in review," International Journal of Forecasting, Elsevier, vol. 22(3), pages 547-581.
    3. Coe, Norma B. & Skira, Meghan M. & Van Houtven, Courtney Harold, 2015. "Long-term care insurance: Does experience matter?," Journal of Health Economics, Elsevier, vol. 40(C), pages 122-131.
    4. Alma Cohen & Peter Siegelman, 2010. "Testing for Adverse Selection in Insurance Markets," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 77(1), pages 39-84, March.
    5. Fuino, Michel & Wagner, Joël, 2020. "Duration of long-term care: Socio-economic factors, type of care interactions and evolution," Insurance: Mathematics and Economics, Elsevier, vol. 90(C), pages 151-168.
    6. Amy Finkelstein & Kathleen McGarry, 2006. "Multiple Dimensions of Private Information: Evidence from the Long-Term Care Insurance Market," American Economic Review, American Economic Association, vol. 96(4), pages 938-958, September.
    7. Fuino, Michel & Wagner, Joël, 2018. "Long-term care models and dependence probability tables by acuity level: New empirical evidence from Switzerland," Insurance: Mathematics and Economics, Elsevier, vol. 81(C), pages 51-70.
    8. Ronald Lee & Timothy Miller, 2001. "Evaluating the performance of the lee-carter method for forecasting mortality," Demography, Springer;Population Association of America (PAA), vol. 38(4), pages 537-549, November.
    9. de Meza, David & Webb, David C, 2001. "Advantageous Selection in Insurance Markets," RAND Journal of Economics, The RAND Corporation, vol. 32(2), pages 249-262, Summer.
    10. Akaichi, Faical & Costa-Font, Joan & Frank, Richard, 2020. "Uninsured by Choice? A choice experiment on long term care insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 173(C), pages 422-434.
    11. Michael Rothschild & Joseph Stiglitz, 1976. "Equilibrium in Competitive Insurance Markets: An Essay on the Economics of Imperfect Information," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 90(4), pages 629-649.
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    More about this item

    Keywords

    Long-term care; Insurance; Dependence; Information asymmetry; Adverse selection;
    All these keywords.

    JEL classification:

    • C6 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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