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Elicitation of preferences under ambiguity

Author

Listed:
  • Enrica Carbone

    (Seconda Universita degli Studi di Napoli)

  • Xueqi Dong

    (Newcastle University Business School at Newcastle University)

  • John Hey

    (University of York)

Abstract

This paper is about behaviour under ambiguity—that is, a situation in which probabilities either do not exist or are not known. Our objective is to find the most empirically valid of the increasingly large number of theories attempting to explain such behaviour. We use experimentally-generated data to compare and contrast the theories. The incentivised experimental task we employed was that of allocation: in a series of problems we gave the subjects an amount of money and asked them to allocate the money over three accounts, the payoffs to them being contingent on a ‘state of the world’ with the occurrence of the states being ambiguous. We reproduced ambiguity in the laboratory using a Bingo Blower. We fitted the most popular and apparently empirically valid preference functionals [Subjective Expected Utility (SEU), MaxMin Expected Utility (MEU) and α-MEU], as well as Mean-Variance (MV) and a heuristic rule, Safety First (SF). We found that SEU fits better than MV and SF and only slightly worse than MEU and α-MEU.

Suggested Citation

  • Enrica Carbone & Xueqi Dong & John Hey, 2017. "Elicitation of preferences under ambiguity," Journal of Risk and Uncertainty, Springer, vol. 54(2), pages 87-102, April.
    • Handle: RePEc:kap:jrisku:v:54:y:2017:i:2:d:10.1007_s11166-017-9256-0
    DOI: 10.1007/s11166-017-9256-0
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    References listed on IDEAS

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    4. Scott DeAngelis & W. Kip Viscusi, 2020. "When to Walk Away and When to Risk It All," Journal of Sports Economics, , vol. 21(5), pages 525-547, June.

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