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Incentives in Experiments with Objective Lotteries

Author

Listed:
  • Paul J. Healy

    (Department of Economics, Ohio State University)

  • Yaron Azrieli

    (Department of Economics, Ohio State University)

  • Christopher P. Chambers

    (Department of Economics, University of California, San Diego)

Abstract

When subjects in an experiment are given multiple decisions, their choices in one decision may be distorted by the choices made in others. An experiment’s payment mechanism is incentive compatible if no such distortions occur. Azrieli et al. (2014) provide two characterizations of incentive compatible mechanisms in a general decision-theoretic framework in subjects’ choices are represented as Savage-style acts. In particular, paying for one randomly-chosen problem — the Random Problem Selection (RPS) mechanism — is incentive compatible when we assume preferences satisfy event-wise monotonicity, and nothing else. Here, we consider the case where subjects view gambles as objective lotteries. Using completely different proof techniques, we show that the set of incentive compatible mechanisms under the monotonicity assumption is strictly larger than in the acts case. We discuss these new incentive compatible mechanisms in detail.

Suggested Citation

  • Paul J. Healy & Yaron Azrieli & Christopher P. Chambers, 2016. "Incentives in Experiments with Objective Lotteries," Working Papers 16-04, Ohio State University, Department of Economics.
    • Handle: RePEc:osu:osuewp:16-04
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    3. 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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    9. Brown, Alexander L. & Healy, Paul J., 2018. "Separated decisions," European Economic Review, Elsevier, vol. 101(C), pages 20-34.
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    13. Kirchkamp, Oliver & Oechssler, Joerg & Sofianos, Andis, 2021. "The Binary Lottery Procedure does not induce risk neutrality in the Holt & Laury and Eckel & Grossman tasks," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 348-369.

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    Keywords

    Experimental design; decision theory; mechanism design;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

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