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The Effect of Elicitation Methods on Ambiguity Aversion: An Experimental Investigation

Author

Listed:
  • Maffioletti, Anna

    (Sonderforschungsbereich 504)

  • Schmidt, Ulrich

    (Institut fuer Volkswirtschaftslehre, Christian-Albrechts-Universitaet zu Kiel)

Abstract

In this paper we elicit preferences for the classical three-color Ellsberg Paradax employing three different methods, choices, minimal selling prices and maximal buying prices. The resulting data reveal a high frequency of preference reversal which not have been analyzed before in choice under uncertainty. Moreover, we analyze the effect of elicitation methods on the degree of ambiguity aversion. While there is no apparent difference in the attitude towards ambiguity between selling and buying prices we observe a rather distinct pattern of behavior for choices: Compared to choices eliciting preferences by pricing tasks decreases the number of subjects being ambiguity averse in both choice problems and increases the number of subjects being ambiguity neutral or prone. We argue that this difference between pricing and choice supports the hypothesis of comparative ignorance.

Suggested Citation

  • Maffioletti, Anna & Schmidt, Ulrich, 2001. "The Effect of Elicitation Methods on Ambiguity Aversion: An Experimental Investigation," Sonderforschungsbereich 504 Publications 01-44, Sonderforschungsbereich 504, Universität Mannheim;Sonderforschungsbereich 504, University of Mannheim.
    • Handle: RePEc:xrs:sfbmaa:01-44
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    References listed on IDEAS

    as
    1. Craig R. Fox & Amos Tversky, 1995. "Ambiguity Aversion and Comparative Ignorance," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 110(3), pages 585-603.
    2. Tversky, Amos & Slovic, Paul & Kahneman, Daniel, 1990. "The Causes of Preference Reversal," American Economic Review, American Economic Association, vol. 80(1), pages 204-217, March.
    3. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    4. Hogarth, Robin M & Kunreuther, Howard, 1989. "Risk, Ambiguity, and Insurance," Journal of Risk and Uncertainty, Springer, vol. 2(1), pages 5-35, April.
    5. Ulrich Schmidt & John D. Hey, 2018. "Are Preference Reversals Errors? An Experimental Investigation," World Scientific Book Chapters, in: Experiments in Economics Decision Making and Markets, chapter 15, pages 353-364, World Scientific Publishing Co. Pte. Ltd..
    6. Camerer, Colin & Kunreuther, Howard, 1989. "Experimental Markets for Insurance," Journal of Risk and Uncertainty, Springer, vol. 2(3), pages 265-299, September.
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    Cited by:

    1. Johanna Etner & Meglena Jeleva & Jean‐Marc Tallon, 2012. "Decision Theory Under Ambiguity," Journal of Economic Surveys, Wiley Blackwell, vol. 26(2), pages 234-270, April.
    2. Sinitskaya, Ekaterina, 2014. "Computational modeling of an economy using elements of artificial intelligence," ISU General Staff Papers 201401010800005291, Iowa State University, Department of Economics.
    3. Daniela Di Cagno & Daniela Grieco, 2019. "Measuring and Disentangling Ambiguity and Confidence in the Lab," Games, MDPI, vol. 10(1), pages 1-22, February.
    4. Jonathan E. Alevy, 2011. "Ambiguity in Individual Choice and Market Environments: On the Importance of Comparative Ignorance," Working Papers 2011-04, University of Alaska Anchorage, Department of Economics.

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    More about this item

    JEL classification:

    • C9 - Mathematical and Quantitative Methods - - Design of Experiments
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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