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The ABC mechanism: an incentive compatible payoff mechanism for elicitation of outcome and probability transformations

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  • Yi Li

    (Slippery Rock University)

Abstract

When it comes to experiments with multiple-round decisions under risk, the current payoff mechanisms are incentive compatible with either outcome weighting theories or probability weighting theories, but not both. In this paper, I introduce a new payoff mechanism, the Accumulative Best Choice (“ABC”) mechanism that is incentive compatible for all rational risk preferences. I also identify three necessary and sufficient conditions for a payoff mechanism to be incentive compatible for all models of decision under risk with complete and transitive preferences. I show that ABC is the unique incentive compatible mechanism for rational risk preferences in a multiple-task setting. In addition, I test empirical validity of the ABC mechanism in the lab. The results from both a choice pattern experiment and a preference (structural) estimation experiment show that individual choices under the ABC mechanism are statistically not different from those observed with the one-round task experimental design. The ABC mechanism supports unbiased elicitation of both outcome and probability transformations as well as testing alternative decision models that do or do not include the independence axiom.

Suggested Citation

  • Yi Li, 2021. "The ABC mechanism: an incentive compatible payoff mechanism for elicitation of outcome and probability transformations," Experimental Economics, Springer;Economic Science Association, vol. 24(3), pages 1019-1046, September.
    • Handle: RePEc:kap:expeco:v:24:y:2021:i:3:d:10.1007_s10683-020-09688-2
    DOI: 10.1007/s10683-020-09688-2
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    Cited by:

    1. Drichoutis, Andreas C. & Palma, Marco & Feldman, Paul, 2024. "Incentives and Payment Mechanisms in Preference Elicitation," MPRA Paper 120898, University Library of Munich, Germany.

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    More about this item

    Keywords

    Experimental design; Payoff mechanism; Incentive compatibility; Decision theory under risk;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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