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The Long-Term-Care Insurance Puzzle: Modeling and Measurement

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Listed:
  • John Ameriks
  • Joseph Briggs
  • Andrew Caplin
  • Matthew D. Shapiro
  • Christopher Tonetti

Abstract

Individuals face significant late-in-life risks, prominently including the need for long-term care (LTC). Yet, they hold little long-term care insurance (LTCI). In this paper we use a structural model and a purpose-designed dataset to understand the determinants of insurance demand. We distinguish between a fundamental lack of desire to insure, crowd out from existing insurance, and unmet demand due to poor products available in the market. The model features individual-specific non-homothetic health-state-dependent preferences over normal consumption, consumption when in need of long-term care, and bequests, which are estimated using strategic survey questions. To account for differences between the modeled and measured insurance products, we study not only individuals' holdings of LTCI, but also their stated demand for an idealized product that mirrors that in the model. We find that many individuals would purchase LTCI and receive a large consumer surplus if it were a better product, while many others do not want to purchase even high-quality actuarially fair LTCI due to the values of their heterogeneous state-dependent preferences, their demographics, and their financial situation.

Suggested Citation

  • John Ameriks & Joseph Briggs & Andrew Caplin & Matthew D. Shapiro & Christopher Tonetti, 2016. "The Long-Term-Care Insurance Puzzle: Modeling and Measurement," NBER Working Papers 22726, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:22726
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    Cited by:

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    2. Stefano Giglio & Matteo Maggiori & Johannes Stroebel & Stephen Utkus, 2021. "Five Facts about Beliefs and Portfolios," American Economic Review, American Economic Association, vol. 111(5), pages 1481-1522, May.
    3. Philippe De Donder & Marie‐Louise Leroux, 2021. "Long term care insurance with state‐dependent preferences," Health Economics, John Wiley & Sons, Ltd., vol. 30(12), pages 3074-3086, December.
    4. M. Martin Boyer & Philippe De Donder & Claude Denys Fluet & Marie-Louise Leroux & Pierre-Carl Michaud, 2018. "A Canadian Parlor Room-Type Approach to the Long-Term Care Insurance Puzzle," CIRANO Working Papers 2018s-13, CIRANO.
    5. M. Martin Boyer & Philippe De Donder & Claude Fluet & Marie-Louise Leroux & Pierre-Carl Michaud, 2020. "Long-Term Care Insurance: Information Frictions and Selection," American Economic Journal: Economic Policy, American Economic Association, vol. 12(3), pages 134-169, August.
    6. Rory McGee, 2023. "Adverse selection among early adopters and unraveling innovation," IFS Working Papers W23/40, Institute for Fiscal Studies.
    7. Roy McGee, 2023. "Adverse Selection Among Early Adopters and Unraveling Innovation," University of Western Ontario, Centre for Human Capital and Productivity (CHCP) Working Papers 2022302, University of Western Ontario, Centre for Human Capital and Productivity (CHCP).
    8. Martin Eling & Omid Ghavibazoo, 2019. "Research on long-term care insurance: status quo and directions for future research," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 44(2), pages 303-356, April.
    9. Marie-Louise Leroux & Pierre Pestieau & Gregory Ponthiere, 2021. "Fair long-term care insurance," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 57(3), pages 503-533, October.
    10. Pellegrino, Bruno & Zheng, Geoffery, 2024. "Quantifying the impact of red tape on investment: A survey data approach," Journal of Financial Economics, Elsevier, vol. 152(C).
    11. Jesus Bueren, 2023. "Long-Term Care Needs and Savings in Retirement," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 49, pages 201-224, July.
    12. John Ameriks & Gábor Kézdi & Minjoon Lee & Matthew D. Shapiro, 2020. "Heterogeneity in Expectations, Risk Tolerance, and Household Stock Shares: The Attenuation Puzzle," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 633-646, July.
    13. Mariacristina De Nardi & Eric French & John Bailey Jones & Rory McGee & Rachel Rodgers, 2020. "Medical Spending, Bequests, and Asset Dynamics around the Time of Death," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 4, pages 135-157.

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    More about this item

    JEL classification:

    • D14 - Microeconomics - - Household Behavior - - - Household Saving; Personal Finance
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • H31 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Household
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private
    • J14 - Labor and Demographic Economics - - Demographic Economics - - - Economics of the Elderly; Economics of the Handicapped; Non-Labor Market Discrimination

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