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Catastrophic risk : Social influences on insurance decisions

Author

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  • Krawczyk, Michal
  • Trautmann, Stefan T.

    (Tilburg University, School of Economics and Management)

  • van de Kuilen, Gijs

    (Tilburg University, School of Economics and Management)

Abstract

We study behavioral patterns of insurance demand for low-probability large-loss events (catastrophic losses). Individual patterns of belief formation and risk attitude that were suggested in the behavioral decisions literature emerge robustly in the current set of insurance choices. However, social comparison effects are less robust. We do not find any evidence for peer effects (through social-loss aversion or imitation) on insurance take-up. In contrast, we find support for the prediction that people underweight others’ relevant information in their own decision making.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Krawczyk, Michal & Trautmann, Stefan T. & van de Kuilen, Gijs, 2016. "Catastrophic risk : Social influences on insurance decisions," Other publications TiSEM 32c55717-0cd7-46b0-8f2b-6, Tilburg University, School of Economics and Management.
    • Handle: RePEc:tiu:tiutis:32c55717-0cd7-46b0-8f2b-6c56bc670a4f
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    References listed on IDEAS

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    2. Mark Browne & Christian Knoller & Andreas Richter, 2015. "Behavioral bias and the demand for bicycle and flood insurance," Journal of Risk and Uncertainty, Springer, vol. 50(2), pages 141-160, April.
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    10. Stefan T. Trautmann & Gijs Kuilen, 2015. "Belief Elicitation: A Horse Race among Truth Serums," Economic Journal, Royal Economic Society, vol. 125(589), pages 2116-2135, December.
    11. W. J. Wouter Botzen & Jeroen C.J.M. van den Bergh, 2009. "Bounded Rationality, Climate Risks, and Insurance: Is There a Market for Natural Disasters?," Land Economics, University of Wisconsin Press, vol. 85(2), pages 265-278.
    12. Leonardo Bursztyn & Florian Ederer & Bruno Ferman & Noam Yuchtman, 2014. "Understanding Mechanisms Underlying Peer Effects: Evidence From a Field Experiment on Financial Decisions," Econometrica, Econometric Society, vol. 82(4), pages 1273-1301, July.
    13. Botzen, W.J.W. & van den Bergh, J.C.J.M., 2012. "Risk attitudes to low-probability climate change risks: WTP for flood insurance," Journal of Economic Behavior & Organization, Elsevier, vol. 82(1), pages 151-166.
    14. Justin Gallagher, 2014. "Learning about an Infrequent Event: Evidence from Flood Insurance Take-Up in the United States," American Economic Journal: Applied Economics, American Economic Association, vol. 6(3), pages 206-233, July.
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    Cited by:

    1. 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.
    2. Stefan Grimm & Martin G. Kocher & Michal Krawczyk & Fabrice Lec, 2021. "Sharing or gambling? On risk attitudes in social contexts," Experimental Economics, Springer;Economic Science Association, vol. 24(4), pages 1075-1104, December.
    3. Johannes G. Jaspersen & Richard Peter & Marc A. Ragin, 2023. "Probability weighting and insurance demand in a unified framework," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 48(1), pages 63-109, March.
    4. Mankaï, Selim & Marchand, Sébastien & Le, Ngoc Ha, 2024. "Valuing insurance against small probability risks: A meta-analysis," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 109(C).
    5. Pitthan, Francisco & De Witte, Kristof, 2021. "Puzzles of insurance demand and its biases: A survey on the role of behavioural biases and financial literacy on insurance demand," Journal of Behavioral and Experimental Finance, Elsevier, vol. 30(C).
    6. 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.
    7. Brice Corgnet & Camille Cornand & Nobuyuki Hanaki, 2021. "Risk-Taking and Tail Events Across Trading Institutions," Working Papers halshs-03357898, HAL.
    8. Shinichi Kamiya & Noriyoshi Yanase, 2019. "Learning from extreme catastrophes," Journal of Risk and Uncertainty, Springer, vol. 59(1), pages 85-124, August.
    9. Brice Corgnet & Camille Cornand & Nobuyuki Hanaki, 2021. "Risk-Taking and Tail Events Across Trading Institutions," Working Papers hal-03468913, HAL.

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    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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