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Laure Cabantous
City University
  1.  70
    Ambiguity Aversion in the Field of Insurance: Insurers' Attitude to Imprecise and Conflicting Probability Estimates. [REVIEW]Laure Cabantous - 2007 - Theory and Decision 62 (3):219-240.
    This article presents the results of a survey designed to test, with economically sophisticated participants, Ellsberg’s ambiguity aversion hypothesis, and Smithson’s conflict aversion hypothesis. Based on an original sample of 78 professional actuaries (all members of the French Institute of Actuaries), this article provides empirical evidence that ambiguity (i.e. uncertainty about the probability) affect insurers’ decision on pricing insurance. It first reveals that premiums are significantly higher for risks when there is ambiguity regarding the probability of the loss. Second, it (...)
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  2.  19
    Are Individuals More Risk and Ambiguity Averse in a Group Environment or Alone? Results From an Experimental Study.Marielle Brunette, Laure Cabantous & Stéphane Couture - 2015 - Theory and Decision 78 (3):357-376.
    Most decision-making research in economics focuses on individual decisions. Yet, we know, from psychological research in particular, that individual preferences can be sensitive to social pressures. In this paper, we study the impact of a group environment on individual preferences for risky and ambiguous prospects. In our experiment, each participant was invited to make a series of lottery-choice decisions in two different conditions. In the Alone condition, individuals made private choices, whereas in the Group condition, individuals belonged to a three-person (...)
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  3.  49
    The Impact of Governmental Assistance on Insurance Demand Under Ambiguity: A Theoretical Model and an Experimental Test. [REVIEW]Marielle Brunette, Laure Cabantous, Stéphane Couture & Anne Stenger - 2013 - Theory and Decision 75 (2):153-174.
    This article deals with the impact of governmental assistance on insurance demand under ambiguity, i.e., in situations where probabilities are uncertain. First, using a model of insurance demand under ambiguity, we derive theoretical predictions about the impact of several governmental assistance programmes on optimal insurance demand. For example, governmental assistance through a fixed public support scheme implies that partial insurance is always optimal under fair insurance with ambiguity. Second, we present the results of an experiment designed to test these predictions. (...)
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