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Ambiguity attitudes, framing, and consistency

Author

Listed:
  • Alex Voorhoeve

    (LSE)

  • Ken Binmore

    (UCL)

  • Arnaldur Stefansson

    (Uppsala University)

  • Lisa Stewart

    (The Australian National University)

Abstract

We use probability-matching variations on Ellsberg’s single-urn experiment to assess three questions: (1) How sensitive are ambiguity attitudes to changes from a gain to a loss frame? (2) How sensitive are ambiguity attitudes to making ambiguity easier to recognize? (3) What is the relation between subjects’ consistency of choice and the ambiguity attitudes their choices display? Contrary to most other studies, we find that a switch from a gain to a loss frame does not lead to a switch from ambiguity aversion to ambiguity neutrality and/or ambiguity seeking. We also find that making ambiguity easier to recognize has little effect. Finally, we find that while ambiguity aversion does not depend on consistency, other attitudes do: consistent choosers are much more likely to be ambiguity neutral, while ambiguity seeking is much more frequent among highly inconsistent choosers.

Suggested Citation

  • Alex Voorhoeve & Ken Binmore & Arnaldur Stefansson & Lisa Stewart, 2016. "Ambiguity attitudes, framing, and consistency," Theory and Decision, Springer, vol. 81(3), pages 313-337, September.
    • Handle: RePEc:kap:theord:v:81:y:2016:i:3:d:10.1007_s11238-016-9544-1
    DOI: 10.1007/s11238-016-9544-1
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    Cited by:

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    2. Oechssler, Jörg & Rau, Hannes & Roomets, Alex, 2019. "Hedging, ambiguity, and the reversal of order axiom," Games and Economic Behavior, Elsevier, vol. 117(C), pages 380-387.
    3. Robin Cubitt & Gijs Kuilen & Sujoy Mukerji, 2018. "The strength of sensitivity to ambiguity," Theory and Decision, Springer, vol. 85(3), pages 275-302, October.
    4. Christoph Kuzmics & Brian W. Rogers & Xiannong Zhang, 2023. "Randomization advice and ambiguity aversion," Graz Economics Papers 2023-01, University of Graz, Department of Economics.
    5. 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.
    6. Surajeet Chakravarty & Todd R. Kaplan & Navonil Mustafee, 2020. "Altering Wait Time Information to Reduce A&E Overcrowding," Discussion Papers 2003, University of Exeter, Department of Economics.
    7. Christoph Kuzmics & Brian W. Rogers & Xiannong Zhang, 2022. "An Ellsberg paradox for ambiguity aversion," Graz Economics Papers 2022-05, University of Graz, Department of Economics.
    8. Ewa Lombard & Rajna N. GibsonBrandon, 2024. "Do Wealth Managers Understand Codes of Conduct and Their Ethical Dilemmas? Lessons from an Online Survey," Journal of Business Ethics, Springer, vol. 189(3), pages 553-572, January.
    9. Ken Binmore, 2017. "On the Foundations of Decision Theory," Homo Oeconomicus: Journal of Behavioral and Institutional Economics, Springer, vol. 34(4), pages 259-273, December.
    10. Marc Fleurbaey, 2018. "Welfare economics, risk and uncertainty," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 51(1), pages 5-40, February.
    11. Nihad Aliyev & Xue-Zhong He, 2017. "Ambiguous Market Making," Research Paper Series 383, Quantitative Finance Research Centre, University of Technology, Sydney.
    12. Dominiak, Adam & Duersch, Peter, 2019. "Interactive Ellsberg tasks: An experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 161(C), pages 145-157.
    13. Mark Schneider & Jonathan W. Leland & Nathaniel T. Wilcox, 2018. "Ambiguity framed," Journal of Risk and Uncertainty, Springer, vol. 57(2), pages 133-151, October.
      • Mark Schneider & Jonathan Leland & Nathaniel T. Wilcox, 2016. "Ambiguity Framed," Working Papers 16-11, Chapman University, Economic Science Institute.

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    More about this item

    Keywords

    Ambiguity attitudes; Framing; Consistency of choice; Ellsberg paradox;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles

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