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Varieties of risk elicitation

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  • Friedman, Daniel
  • Habib, Sameh
  • James, Duncan
  • Crockett, Sean

Abstract

We explore a variety of risk preference elicitation procedures that involve direct choice from a set of lotteries, including budget lines (BL) and binary choice lists (HL). We find statistically significant violations of the expected utility hypothesis (EUH) consistent with disappointment aversion, and also find violations of first order stochastic dominance, but both sorts of violations are mostly small and only slightly impair the predictive power of a parametric implementation of EUH. The estimated coefficient of relative risk aversion, gamma, varies widely across individual subjects (consistent with EUH) and also across elicitation tasks (inconsistent with direct implementation of EUH). An alternative nonparametric measure of risk preferences displays similar patterns. The two risk preference measures are highly correlated with each other for each elicitation task. Each separate measure varies widely across individual subjects and across elicitation tasks, with low to nil correlation between BL tasks and HL tasks. Some of the variation across tasks can be explained by attributes such as graphical vs text representation that have no role in decision theory.

Suggested Citation

  • Friedman, Daniel & Habib, Sameh & James, Duncan & Crockett, Sean, 2018. "Varieties of risk elicitation," Discussion Papers, Research Professorship Market Design: Theory and Pragmatics SP II 2018-501, WZB Berlin Social Science Center.
    • Handle: RePEc:zbw:wzbmdn:spii2018501
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    References listed on IDEAS

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    Cited by:

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    3. Felix Holzmeister & Matthias Stefan, 2021. "The risk elicitation puzzle revisited: Across-methods (in)consistency?," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 593-616, June.

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    More about this item

    Keywords

    risk aversion; experiment; elicitation; multiple price list;
    All these keywords.

    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
    • D89 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Other

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