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Narrow Framing and Long‐Term Care Insurance

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  • Daniel Gottlieb
  • Olivia S. Mitchell

Abstract

We propose a model of narrow framing in insurance and test it using data from a new module we designed and fielded in the Health and Retirement Study. We show that respondents subject to narrow framing are substantially less likely to buy long‐term care insurance than average. This effect is much larger than the effects of risk aversion or adverse selection, and it offers a new explanation for why people underinsure their later‐life care needs.

Suggested Citation

  • Daniel Gottlieb & Olivia S. Mitchell, 2020. "Narrow Framing and Long‐Term Care Insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(4), pages 861-893, December.
    • Handle: RePEc:bla:jrinsu:v:87:y:2020:i:4:p:861-893
    DOI: 10.1111/jori.12290
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    Cited by:

    1. Olivia S. Mitchell, 2018. "Enhancing risk management for an aging world," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 43(2), pages 115-136, September.
    2. Victor Stango & Joanne Yoong & Jonathan Zinman, 2017. "Quicksand or Bedrock for Behavioral Economics? Assessing Foundational Empirical Questions," NBER Working Papers 23625, National Bureau of Economic Research, Inc.
    3. Shemendyuk, Aleksandr & Wagner, Joël, 2024. "On the factors determining the health profiles and care needs of institutionalized elders," Insurance: Mathematics and Economics, Elsevier, vol. 114(C), pages 223-241.
    4. Kunal Rajesh Lahoti & Shivani Hanji & Pratik Kamble & Kavita Vemuri, 2023. "Impact of Loss-Framing and Risk Attitudes on Insurance Purchase: Insights from a Game-like Interface Study," Papers 2310.13300, arXiv.org.
    5. Victor Stango & Jonathan Zinman, 2019. "We Are All Behavioral, More or Less: Measuring and Using Consumer-Level Behavioral Sufficient Statistics," Working Papers 19-14, Federal Reserve Bank of Philadelphia.
    6. Jeroen Hinloopen & Adriaan R. Soetevent, 2020. "(Non‐)Insurance Markets, Loss Size Manipulation and Competition: Experimental Evidence," Journal of Industrial Economics, Wiley Blackwell, vol. 68(4), pages 819-856, December.
    7. Lampe, Immanuel & Würtenberger, Daniel, 2020. "Loss aversion and the demand for index insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 678-693.
    8. Lambregts, Timo R. & Schut, Frederik T., 2020. "Displaced, disliked and misunderstood: A systematic review of the reasons for low uptake of long-term care insurance and life annuities," The Journal of the Economics of Ageing, Elsevier, vol. 17(C).
    9. Eling, Martin & Ghavibazoo, Omid & Hanewald, Katja, 2021. "Willingness to take financial risks and insurance holdings: A European survey," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 95(C).
    10. Hwang, In Do, 2024. "Behavioral aspects of household portfolio choice: Effects of loss aversion on life insurance uptake and savings," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1029-1053.
    11. Zuo, Jingjing & Qiu, Baoyin & Zhu, Guoyiming & Lei, Guangyong, 2023. "Local speculative culture and stock price crash risk," Research in International Business and Finance, Elsevier, vol. 64(C).
    12. 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.
    13. Xie, Yuxin & Tang, Ruohua & Pantelous, Athanasios A. & Lu, Xiaomeng, 2024. "Narrow framing and under-diversification: Empirical evidence from Chinese households," China Economic Review, Elsevier, vol. 83(C).
    14. Brian E McGarry & Helena Tempkin-Greener & David C Grabowski & Benjamin P Chapman & Yue Li, 2018. "Consumer Decision-Making Abilities and Long-Term Care Insurance Purchase," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 73(4), pages 1-10.
    15. Immanuel Lampe & Daniel Würtenberger, 2019. "Loss Aversion And The Demand For Index Insurance," Working Papers on Finance 1907, University of St. Gallen, School of Finance.
    16. Guo, Jing & He, Xue Dong, 2021. "A new preference model that allows for narrow framing," Journal of Mathematical Economics, Elsevier, vol. 95(C).
    17. Hwang, In Do, 2021. "Prospect theory and insurance demand: Empirical evidence on the role of loss aversion," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 95(C).
    18. Chi, Yichun & Zheng, Jiakun & Zhuang, Shengchao, 2022. "S-shaped narrow framing, skewness and the demand for insurance," Insurance: Mathematics and Economics, Elsevier, vol. 105(C), pages 279-292.
    19. Soetevent, Adriaan & Hinloopen, Jeroen, 2016. "(Non-)Insurance Markets, Loss Size Manipulation and Competition," Research Report 16009-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    20. 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.
    21. Christine L. Exley & Judd B. Kessler, 2018. "Equity Concerns are Narrowly Framed," NBER Working Papers 25326, National Bureau of Economic Research, Inc.

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    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • I13 - Health, Education, and Welfare - - Health - - - Health Insurance, Public and Private

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