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Auction Design with Data-Driven Misspecifications

Author

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  • Philippe Jehiel

    (PSE - Paris School of Economics - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, PJSE - Paris Jourdan Sciences Economiques - UP1 - Université Paris 1 Panthéon-Sorbonne - ENS-PSL - École normale supérieure - Paris - PSL - Université Paris Sciences et Lettres - EHESS - École des hautes études en sciences sociales - ENPC - École des Ponts ParisTech - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement, UCL - University College of London [London])

  • Konrad Mierendorff

    (UCL - University College of London [London])

Abstract

We study the existence of e¢cient auctions in private value settings in which some bidders choose their bids based on the accessible data from past similar auctions consisting of bids and ex post values. We consider steady-states in such environments with a mix of rational and data-driven bidders, and we allow for correlation across bidders in the signal distributions about the ex post values. After reviewing the working of the approach in second-price and first-price auctions, we show our main result that there is no e¢cient auction in such environments.

Suggested Citation

  • Philippe Jehiel & Konrad Mierendorff, 2022. "Auction Design with Data-Driven Misspecifications," PSE Working Papers halshs-03735747, HAL.
    • Handle: RePEc:hal:psewpa:halshs-03735747
    Note: View the original document on HAL open archive server: https://shs.hal.science/halshs-03735747
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    References listed on IDEAS

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    Keywords

    Belief Formation; Auctions; Efficiency; Analogy-based Expectations Belief Formation;
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