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Stochastic choice and preference reversals

Author

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  • Carlos Alós-Ferrer
  • Johannes Buckenmaier
  • Michele Garagnani

Abstract

Preferences over risky alternatives can be elicited by different methods, including direct pairwise choices and willingness-to-accept valuations. The results are frequently at odds, casting doubts on the foundations of economics. We develop a stochastic choice model predicting when inconsistencies across elicitation methods should occur, the type of anomalies to be expected, what determines their magnitude, and whether they uncover a bias or not. While some anomalies can be traced back to individual biases, other apparent anomalies can occur in the absence of any actual behavioral bias, as a consequence of regularities in stochastic choice, risk attitudes, and experimental design. The model delivers new predictions that are confirmed in five experiments on the classical preference reversal phenomenon. Our novel empirical approach relies on utilities estimated out of sample, which allow us to test the model and also show that the bias in willingness-to-accept valuations is limited to long shots.

Suggested Citation

  • Carlos Alós-Ferrer & Johannes Buckenmaier & Michele Garagnani, 2020. "Stochastic choice and preference reversals," ECON - Working Papers 370, Department of Economics - University of Zurich, revised Jul 2021.
  • Handle: RePEc:zur:econwp:370
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    File URL: https://www.zora.uzh.ch/id/eprint/193661/7/econwp370.pdf
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    Cited by:

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    More about this item

    Keywords

    Stochastic choice; preference elicitation; preference reversals; behavioral biases; lottery choice;
    All these keywords.

    JEL classification:

    • D01 - Microeconomics - - General - - - Microeconomic Behavior: Underlying Principles
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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