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Behavioral bias and the demand for bicycle and flood insurance

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  • Mark Browne
  • Christian Knoller
  • Andreas Richter

Abstract

With data from an insurer that provides coverage for both a low probability, high consequence (LPHC) risk (the flood peril) and a high probability, low consequence (HPLC) risk (bicycle theft), we investigate behavioral bias in the demand for insurance. Our analysis provides evidence which is consistent with a preference for insurance for HPLC risks over LPHC risks: we find that many more policyholders purchase add-on coverage to their homeowner’s insurance to cover the risk of bicycle theft than to cover the risk of loss due to flooding. In addition, we find mixed evidence on whether policyholders’ insurance coverage decisions are responsive to changes in their risk exposure. We find a strong relationship between wealth and the demand for both types of coverage. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • 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.
    • Handle: RePEc:kap:jrisku:v:50:y:2015:i:2:p:141-160
    DOI: 10.1007/s11166-015-9212-9
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    Cited by:

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    4. Annette Hofmann & Peter Zweifel, 2024. "Can Investment Views Explain Why People Insure Their Cell Phones But Not Their Homes?—A New Perspective on the Catastrophe Insurance Puzzle," JRFM, MDPI, vol. 17(1), pages 1-12, January.
    5. Michal W. Krawczyk & Stefan T. Trautmann & Gijs Kuilen, 2017. "Catastrophic risk: social influences on insurance decisions," Theory and Decision, Springer, vol. 82(3), pages 309-326, March.
    6. Okura Mahito & Sakaki Motohiro & Yoshizawa Takuya, 2021. "Should Liability Insurance Be Compulsory for Bicycle Accidents?," Asian Journal of Law and Economics, De Gruyter, vol. 12(1), pages 19-35, April.
    7. Raphael Guber & Martin G. Kocher & Joachim Winter, 2021. "Does having insurance change individuals' self‐confidence?," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(2), pages 429-442, June.
    8. Xiao Lin, 2020. "Feeling Is Believing? Evidence From Earthquake Shaking Experience and Insurance Demand," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 87(2), pages 351-380, June.
    9. Chloe H. Lucas & Kate I. Booth & Carolina Garcia, 2021. "Insuring homes against extreme weather events: a systematic review of the research," Climatic Change, Springer, vol. 165(3), pages 1-21, April.
    10. Achtnicht Martin & Osberghaus Daniel, 2019. "The Demand for Index-Based Flood Insurance in a High-Income Country," German Economic Review, De Gruyter, vol. 20(2), pages 217-242, May.
    11. Renate Lange & Jörg Schiller & Petra Steinorth, 2017. "Demand and Selection Effects in Supplemental Health Insurance in Germany," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 42(1), pages 5-30, January.
    12. Marc A. Ragin & Benjamin L. Collier & Johannes G. Jaspersen, 2021. "The effect of information disclosure on demand for high‐load insurance," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 88(1), pages 161-193, March.
    13. Adloff, Susann, 2021. "Adapting to Climate Change: Threat Experience, Cognition and Protection Motivation," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242400, Verein für Socialpolitik / German Economic Association.
    14. Andreas Richter & Jochen Ruß & Stefan Schelling, 2019. "Insurance customer behavior: Lessons from behavioral economics," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 22(2), pages 183-205, July.
    15. Lex, Christoph & Tennyson, Sharon, 2021. "EU intermediary regulation and its impact on insurance agent quality: Evidence from Germany," International Review of Law and Economics, Elsevier, vol. 68(C).
    16. 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.
    17. 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).
    18. Belinda Storey & Sally Owen & Christian Zammit & Ilan Noy, 2022. "Insurance Retreat in Residential Properties from Future Sea Level Rise in Aotearoa New Zealand," CESifo Working Paper Series 10017, CESifo.
    19. Pitterle, Claudia, 2022. "Consumer behavior and decision making from officed- based doctors A systematic literature review," MPRA Paper 117730, University Library of Munich, Germany.
    20. Andrew Royal, 2017. "Dynamics in risk taking with a low-probability hazard," Journal of Risk and Uncertainty, Springer, vol. 55(1), pages 41-69, August.
    21. Asadul Islam & C. Matthew Leister & Minhaj Mahmud & Paul A. Raschky, 2020. "Natural disaster and risk-sharing behavior: Evidence from rural Bangladesh," Journal of Risk and Uncertainty, Springer, vol. 61(1), pages 67-99, August.
    22. Benjamin L. Collier & Daniel Schwartz & Howard C. Kunreuther & Erwann O. Michel‐Kerjan, 2022. "Insuring large stakes: A normative and descriptive analysis of households' flood insurance coverage," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 89(2), pages 273-310, June.
    23. Peter John Robinson & W. J. Wouter Botzen, 2023. "Can we nudge insurance demand by bundling natural disaster risks with other risks?," Journal of Behavioral Economics for Policy, Society for the Advancement of Behavioral Economics (SABE), vol. 7(2), pages 39-46, December.
    24. Peter John Robinson & W. J. Wouter Botzen, 2019. "Determinants of Probability Neglect and Risk Attitudes for Disaster Risk: An Online Experimental Study of Flood Insurance Demand among Homeowners," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2514-2527, November.

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    More about this item

    Keywords

    Decision making under risk; Risk assessment; Insurance demand; D81; D83; D84;
    All these keywords.

    JEL classification:

    • 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
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

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