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Honesty via Choice-Matching

Author

Listed:
  • Jakša Cvitanić
  • Dražen Prelec
  • Blake Riley
  • Benjamin Tereick

Abstract

We introduce choice-matching, a class of mechanisms for eliciting honest responses to a multiple choice question (MCQ), as might appear in a market research study, opinion poll, or economics experiment. Under choice-matching, respondents are compensated through an auxiliary task, e.g., a personal consumption choice or a forecast. Their compensation depends both on their performance on the auxiliary task, and on the performance of those respondents who matched their response to the MCQ. We give conditions for such mechanisms to be strictly truth-inducing, focusing on a special case in which the auxiliary task is to predict the answers of other respondents.

Suggested Citation

  • Jakša Cvitanić & Dražen Prelec & Blake Riley & Benjamin Tereick, 2019. "Honesty via Choice-Matching," American Economic Review: Insights, American Economic Association, vol. 1(2), pages 179-192, September.
  • Handle: RePEc:aea:aerins:v:1:y:2019:i:2:p:179-92
    Note: DOI: 10.1257/aeri.20180227
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    Citations

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    Cited by:

    1. Ewa Zawojska & Michał Krawczyk, 2022. "Incentivizing stated preference elicitation with choice-matching in the field," Working Papers 2022-04, Faculty of Economic Sciences, University of Warsaw.
    2. Baillon, Aurélien & Bleichrodt, Han & Granic, Georg D., 2022. "Incentives in surveys," Journal of Economic Psychology, Elsevier, vol. 93(C).
    3. Charness, Gary & Gneezy, Uri & Rasocha, Vlastimil, 2021. "Experimental methods: Eliciting beliefs," Journal of Economic Behavior & Organization, Elsevier, vol. 189(C), pages 234-256.
    4. Dai, Min & Jia, Yanwei & Kou, Steven, 2021. "The wisdom of the crowd and prediction markets," Journal of Econometrics, Elsevier, vol. 222(1), pages 561-578.

    More about this item

    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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