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Optimal Auctions With Signaling Bidders

Author

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  • Oliver Bos

  • Martin Pollrich

Abstract

We study optimal auctions in a symmetric private values setting, where bidders’ care about winning the object and a receiver’s inference about their type. We reestablish revenue equivalence when bidders’ signaling concerns are linear, and the auction makes participation observable via an entry fee. With convex signaling concerns, optimal auctions are fully transparent: every standard auction, which reveals all bids yields maximal revenue. With concave signaling concerns there is no general revenue ranking. We highlight a trade-off between maximizing revenue derived from signaling, and extracting information from bidders. Our methodology combines tools from mechanism design with tools from Bayesian persuasion.

Suggested Citation

  • Oliver Bos & Martin Pollrich, 2020. "Optimal Auctions With Signaling Bidders," CRC TR 224 Discussion Paper Series crctr224_2020_158, University of Bonn and University of Mannheim, Germany.
    • Handle: RePEc:bon:boncrc:crctr224_2020_158
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    File URL: https://www.crctr224.de/research/discussion-papers/archive/dp158
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    Cited by:

    1. Olivier Bos & Tom Truyts, 2021. "Auctions with signaling concerns," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(2), pages 420-448, May.
    2. Roland Bénabou & Armin Falk & Luca Henkel & Jean Tirole, 2020. "Eliciting Moral Preferences: Theory and Experiment," Working Papers 2020-17, Princeton University. Economics Department..
    3. Fugger, Nicolas & Gretschko, Vitali & Pollrich, Martin, 2022. "Information design in sequential procurement," Games and Economic Behavior, Elsevier, vol. 135(C), pages 79-85.
    4. Jibang Wu & Ashwinkumar Badanidiyuru & Haifeng Xu, 2021. "Auctioning with Strategically Reticent Bidders," Papers 2109.04888, arXiv.org, revised Jan 2023.

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    Keywords

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    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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