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The Impact of Ambiguity Prudence on Insurance and Prevention

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  • Berger, Loïc

Abstract

Most decisions concerning (self-)insurance and self-protection have to be taken in situations in which a) the effort exerted precedes the moment uncertainty realises, and b) the probabilities of future states of the world are not perfectly known. By integrating these two characteristics in a simple theoretical framework, this paper derives plausible conditions under which ambiguity aversion raises the demand for (self-)insurance and self-protection. In particular, it is shown that in most usual situations where the level of ambiguity does not increase with the level of effort, a simple condition of ambiguity prudence known as decreasing absolute ambiguity aversion (DAAA) is sufficient to give a clear and positive answer to the question: Does ambiguity aversion raise the optimal level of effort?

Suggested Citation

  • Berger, Loïc, 2015. "The Impact of Ambiguity Prudence on Insurance and Prevention," Climate Change and Sustainable Development 198893, Fondazione Eni Enrico Mattei (FEEM).
  • Handle: RePEc:ags:feemcl:198893
    DOI: 10.22004/ag.econ.198893
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    References listed on IDEAS

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    Cited by:

    1. Andreas Richter & Thomas C. Wilson, 2020. "Covid-19: implications for insurer risk management and the insurability of pandemic risk," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 45(2), pages 171-199, September.
    2. Loic Berger & Massimo Marinacci, 2017. "Model Uncertainty in Climate Change Economics," Working Papers 616, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    3. Loïc Berger & Johannes Emmerling & Massimo Tavoni, 2017. "Managing Catastrophic Climate Risks Under Model Uncertainty Aversion," Post-Print hal-01744501, HAL.

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    More about this item

    Keywords

    Risk and Uncertainty;

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions

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