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Random expected utility and certainty equivalents: mimicry of probability weighting functions

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  • Nathaniel T. Wilcox

    (Chapman University)

Abstract

For simple prospects routinely used for certainty equivalent elicitation, random expected utility preferences imply a conditional expectation function that can mimic deterministic rank-dependent preferences. That is, a subject with random expected utility preferences can have expected certainty equivalents exactly like those predicted by rank-dependent probability weighting functions of the inverse-s shape discussed by Quiggin (J Econ Behav Organ 3:323–343, 1982) and advocated by Tversky and Kahneman (J Risk Uncertainty 5:297–323, 1992), Prelec (Econometrica 66:497–527, 1998) and other scholars. Certainty equivalents may not nonparametrically identify preferences: Their conditional expectation (and critically, their interpretation) depends on assumptions concerning the source of their variability.

Suggested Citation

  • Nathaniel T. Wilcox, 2017. "Random expected utility and certainty equivalents: mimicry of probability weighting functions," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 3(2), pages 161-173, December.
  • Handle: RePEc:spr:jesaex:v:3:y:2017:i:2:d:10.1007_s40881-017-0042-1
    DOI: 10.1007/s40881-017-0042-1
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    Cited by:

    1. Daniel Navarro-Martinez & Graham Loomes & Andrea Isoni & David Butler & Larbi Alaoui, 2018. "Boundedly rational expected utility theory," Journal of Risk and Uncertainty, Springer, vol. 57(3), pages 199-223, December.
    2. Charles-Cadogan, G., 2018. "Probability interference in expected utility theory," Journal of Mathematical Economics, Elsevier, vol. 78(C), pages 163-175.

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    More about this item

    Keywords

    Certainty equivalence; Identification; Preference estimation; Preference measurement; Random preference; Choice under risk and uncertainty;
    All these keywords.

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • 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

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