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Identifying Rule-Based Rationality

Author

Listed:
  • Yoram Halevy

    (University of Toronto and Hebrew University of Jerusalem)

  • Guy Mayraz

    (University of Sydney)

Abstract

The revealed preference methodology allows an observer to infer preferences from choices. This paper extends this fundamental idea by experimentally identifying the preference for basing choices on simple decision rules. Subjects not only make case-by-case portfolio allocations but also design a simple investment rule for selecting portfolios. They then choose between these two decision modes for an additional set of problems. The majority opt for the rule interface and in most cases choose a simple investment rule that cannot be rationalized by any simple utility function or accounted for by reductions in decision time or by cognitive costs.

Suggested Citation

  • Yoram Halevy & Guy Mayraz, 2024. "Identifying Rule-Based Rationality," The Review of Economics and Statistics, MIT Press, vol. 106(5), pages 1369-1380, September.
    • Handle: RePEc:tpr:restat:v:106:y:2024:i:5:p:1369-1380
    DOI: 10.1162/rest_a_01232
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    References listed on IDEAS

    as
    1. Yoram Halevy & Vincent Feltkamp, 2005. "A Bayesian Approach to Uncertainty Aversion," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(2), pages 449-466.
    2. Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 69(1), pages 99-118.
    3. Rubinstein, Ariel, 1988. "Similarity and decision-making under risk (is there a utility theory resolution to the Allais paradox?)," Journal of Economic Theory, Elsevier, vol. 46(1), pages 145-153, October.
    4. R. L. Hall & C. J. Hitch, 1939. "Price Theory And Business Behaviour," Oxford Economic Papers, Oxford University Press, vol. 0(1), pages 12-45.
    5. Robert J. Aumann, 2008. "Rule-Rationality versus Act-Rationality," Discussion Paper Series dp497, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    6. David J. Freeman & Guy Mayraz, 2019. "Why choice lists increase risk taking," Experimental Economics, Springer;Economic Science Association, vol. 22(1), pages 131-154, March.
    7. David J. Freeman & Yoram Halevy & Terri Kneeland, 2019. "Eliciting risk preferences using choice lists," Quantitative Economics, Econometric Society, vol. 10(1), pages 217-237, January.
    8. Ryan Oprea, 2020. "What Makes a Rule Complex?," American Economic Review, American Economic Association, vol. 110(12), pages 3913-3951, December.
    9. Yoram Halevy & Dotan Persitz & Lanny Zrill, 2018. "Parametric Recoverability of Preferences," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1558-1593.
    10. Richard H. Thaler & Shlomo Benartzi, 2001. "Naive Diversification Strategies in Defined Contribution Saving Plans," American Economic Review, American Economic Association, vol. 91(1), pages 79-98, March.
    11. Berinsky, Adam J. & Huber, Gregory A. & Lenz, Gabriel S., 2012. "Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk," Political Analysis, Cambridge University Press, vol. 20(3), pages 351-368, July.
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    Cited by:

    1. de Castro, Luciano & Galvao, Antonio F. & Noussair, Charles N. & Qiao, Liang, 2022. "Do people maximize quantiles?," Games and Economic Behavior, Elsevier, vol. 132(C), pages 22-40.

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    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • 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
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G41 - Financial Economics - - Behavioral Finance - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making in Financial Markets

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