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Robust scoring rules

Author

Listed:
  • Tsakas, Elias

    (Department of Economics, Maastricht University)

Abstract

Is it possible to guarantee that the mere exposure of a subject to a belief elicitation task will not affect the very same beliefs that we are trying to elicit? In this paper, we introduce mechanisms that make it simultaneously strictly dominant for the subject (a) not to acquire any information that could potentially lead to belief updating as a response to the incentives provided by the mechanism itself, and (b) to report his beliefs truthfully. Such mechanisms are called robust scoring rules. We prove that robust scoring rules always exist under mild assumptions on the subject's costs for acquiring information. Moreover, every scoring rule can become approximately robust, in the sense that if we scale down the incentives sufficiently, we will approximate with arbitrary precision the beliefs that the subject would have held if he had not been confronted with the belief-elicitation task.

Suggested Citation

  • Tsakas, Elias, 2020. "Robust scoring rules," Theoretical Economics, Econometric Society, vol. 15(3), July.
  • Handle: RePEc:the:publsh:3557
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    References listed on IDEAS

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    Cited by:

    1. Roc Armenter & Michèle Müller-Itten & Zachary Stangebye, 2020. "Rational Inattention via Ignorance Equivalence," Working Papers 20-24, Federal Reserve Bank of Philadelphia.
    2. Spyros Galanis & Sergei Mikhalishchev, 2024. "Information Aggregation with Costly Information Acquisition," Papers 2406.07186, arXiv.org, revised Nov 2024.
    3. Ausloos, Marcel, 2024. "Hierarchy selection: New team ranking indicators for cyclist multi-stage races," European Journal of Operational Research, Elsevier, vol. 314(2), pages 807-816.
    4. Anqi Li & Lin Hu, 2020. "Electoral Accountability and Selection with Personalized Information Aggregation," Papers 2009.03761, arXiv.org, revised Apr 2023.
    5. Li, Anqi & Hu, Lin, 2023. "Electoral accountability and selection with personalized information aggregation," Games and Economic Behavior, Elsevier, vol. 140(C), pages 296-315.
    6. Lin Hu & Anqi Li & Ilya Segal, 2019. "The Politics of Personalized News Aggregation," Papers 1910.11405, arXiv.org, revised Nov 2022.

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    More about this item

    Keywords

    Non-invasive belief elicitation; prior beliefs; rational inattention; posterior-separability; Shannon entropy; population beliefs;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • 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
    • D87 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Neuroeconomics

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