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Dynamic Insurance Decision-Making for Rare Events: The Role of Emotions

Author

Listed:
  • Howard Kunreuther

    (University of Pennsylvania)

  • Mark V. Pauly

    (University of Pennsylvania)

Abstract

This paper describes the results of a web-based experiment that uses respondents’ stated preferences for purchasing insurance for low-probability, high-consequence events where the probability of a loss and its consequences are stable over time. We contrast the predictions of a model of insurance choice based on expected utility [E(U)] maximisation with those of an alternative behavioural model. The majority of subjects reported insurance purchasing behaviour consistent with expected utility theory; however, a sizeable number of uninsured individuals decided to purchase insurance after learning that they had suffered a loss whereby they responded that their prior choice to be uninsured made them unhappy. In this sense, the study shows that a loss coupled with self-reported emotions linked to the loss is likely to play an important role in convincing some uninsured persons to buy coverage. In contrast, insured individuals who did not suffer a loss rarely dropped coverage.

Suggested Citation

  • Howard Kunreuther & Mark V. Pauly, 2018. "Dynamic Insurance Decision-Making for Rare Events: The Role of Emotions," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(2), pages 335-355, April.
  • Handle: RePEc:pal:gpprii:v:43:y:2018:i:2:d:10.1057_s41288-017-0068-x
    DOI: 10.1057/s41288-017-0068-x
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    References listed on IDEAS

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    Cited by:

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    2. Brice Corgnet & Camille Cornand & Nobuyuki Hanaki, 2021. "Emotional Markets: Competitive Arousal, Overbidding and Bubbles," Working Papers 2117, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    3. Robinson, Peter John & Botzen, W. J. Wouter & Kunreuther, Howard & Chaudhry, Shereen J., 2021. "Default options and insurance demand," Journal of Economic Behavior & Organization, Elsevier, vol. 183(C), pages 39-56.
    4. Liu, Tongxin & Shao, Jianfang & Wang, Xihui, 2022. "Funding allocations for disaster preparation considering catastrophe insurance," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    5. Brice Corgnet & Camille Cornand & Nobuyuki Hanaki, 2020. "Negative Tail Events, Emotions & Risk Taking," Working Papers 2016, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    6. Brice Corgnet & Camille Cornand & Nobuyuki Hanaki, 2021. "Risk-Taking and Tail Events Across Trading Institutions," Working Papers halshs-03357898, HAL.
    7. Brice Corgnet & Camille Cornand & Nobuyuki Hanaki, 2020. "Tail events, emotions and risk taking," Working Papers halshs-02613344, HAL.
    8. Kjartan Palsson & Steinn Gudmundsson & Sachin Shetty, 2020. "Analysis of the impact of cyber events for cyber insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(4), pages 564-579, October.
    9. Peter John Robinson & W. J. Wouter Botzen & Fujin Zhou, 2021. "An experimental study of charity hazard: The effect of risky and ambiguous government compensation on flood insurance demand," Journal of Risk and Uncertainty, Springer, vol. 63(3), pages 275-318, December.
    10. Howard Kunreuther & Mark Pauly, 2022. "Do people have a bias for low deductible insurance?," Journal of Risk and Uncertainty, Springer, vol. 64(1), pages 1-17, February.
    11. Kjartan Palsson & Steinn Gudmundsson & Sachin Shetty, 0. "Analysis of the impact of cyber events for cyber insurance," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 0, pages 1-16.
    12. Howard Kunreuther & Mark Pauly, 2020. "Do People Have a Bias for Low-Deductible Insurance?," NBER Working Papers 26994, National Bureau of Economic Research, Inc.
    13. Osberghaus, Daniel & Reif, Christiane, 2021. "How do different compensation schemes and loss experience affect insurance decisions? Experimental evidence from two independent and heterogeneous samples," Ecological Economics, Elsevier, vol. 187(C).
    14. Thomas Dudek & Eric R. Ulm & Ilan Noy, 2021. "Demand for Multi-Year Catastrophe Insurance Contracts: Experimental Evidence for Mitigating the Insurance Gap," CESifo Working Paper Series 9442, CESifo.
    15. W. J. Wouter Botzen & Jantsje M. Mol & Peter J. Robinson & Juan Zhang & Jeffrey Czajkowski, 2022. "Individual hurricane evacuation intentions during the COVID-19 pandemic: insights for risk communication and emergency management policies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 111(1), pages 507-522, March.
    16. Hong Fu & Yuehua Zhang & Yinuo An & Li Zhou & Yanling Peng & Rong Kong & Calum G. Turvey, 2022. "Subjective and objective risk perceptions and the willingness to pay for agricultural insurance: evidence from an in-the-field choice experiment in rural China," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 47(1), pages 98-121, March.
    17. Brice Corgnet & Camille Cornand & Nobuyuki Hanaki, 2021. "Risk-Taking and Tail Events Across Trading Institutions," Working Papers hal-03468913, HAL.
    18. Cordes, Henning & Nolte, Sven & Schneider, Judith C., 2023. "Dynamics of stock market developments, financial behavior, and emotions," Journal of Banking & Finance, Elsevier, vol. 154(C).

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