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Balancing the desire for privacy against the desire to hedge risk

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  • Biener, Christian
  • Eling, Martin
  • Lehmann, Martin

Abstract

An individual's desire to hedge risks, as implied by risk aversion, is accepted as a normative paradigm and documented as valid descriptively. Insurance markets satisfy this desire, wherein the individual's aversion to bear risk allows firms to demand a markup on the expected value of the insured loss. Insurance firms incrementally introduce digital monitoring technology into their policies, making policyholder's behavior transparent. We analyze the implications of such transparency insurance contracts for willingness to pay in a framed behavioral experiment and find that the loss of privacy in such contracts marginalizes the potential profits that insurers could earn on their policies. In particular, our results suggest that the reduction in willingness to pay from introducing digital monitoring is in the range of 25–50% of the expected loss. While an absolute as opposed to a relative monetary valuation concept of privacy appears more likely to explain our data, we cannot clearly confirm this conjecture empirically. Heterogeneous treatment effects for risk preferences are suggestive for increasing utility losses from transparency policies with increasing risk aversion but we also observe indications of nonlinearities in this relationship. Probability misperception is a salient characteristic of our experimental population, suggesting that profitability is less threatened under low-frequency risks as opposed to high-frequency risks.

Suggested Citation

  • Biener, Christian & Eling, Martin & Lehmann, Martin, 2020. "Balancing the desire for privacy against the desire to hedge risk," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 608-620.
  • Handle: RePEc:eee:jeborg:v:180:y:2020:i:c:p:608-620
    DOI: 10.1016/j.jebo.2020.03.007
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    Cited by:

    1. Martin Eling & Davide Nuessle & Julian Staubli, 2022. "The impact of artificial intelligence along the insurance value chain and on the insurability of risks," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(2), pages 205-241, April.
    2. Martin Eling & Irina Gemmo & Danjela Guxha & Hato Schmeiser, 2024. "Big data, risk classification, and privacy in insurance markets," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 49(1), pages 75-126, March.

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    More about this item

    Keywords

    Information privacy preferences; Risk preferences; Digital monitoring; Insurance;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies

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