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Optimal Information Disclosure in Auctions

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Abstract

We characterize the revenue-maximizing information structure in the second price auction. The seller faces a classic economic trade-o¤: providing more information improves the efficiency of the allocation but also creates higher information rents for bidders. The information disclosure policy that maximizes the revenue of the seller is to fully reveal low values (where competition will be high) but to pool high values (where competition will be low). The size of the pool is determined by a critical quantile that is independent of the distribution of values and only dependent on the number of bidders. We discuss how this policy provides a rationale for conflation in digital advertising.

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  • Dirk Bergemann & Benjamin Brooks & Stephen Morris, 2021. "Optimal Information Disclosure in Auctions," Cowles Foundation Discussion Papers 2318, Cowles Foundation for Research in Economics, Yale University.
    • Handle: RePEc:cwl:cwldpp:2318
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    1. Bourreau Marc & Caillaud Bernard & de Nijs Romain, 2017. "The Value of Consumer Data in Online Advertising," Review of Network Economics, De Gruyter, vol. 16(3), pages 269-289, September.
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    More about this item

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations

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