Optimal auctions with signaling bidders
Olivier Bos and
No 20-091, ZEW Discussion Papers from ZEW - Leibniz Centre for European Economic Research
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.
Keywords: optimal auctions; revenue equivalence; Bayesian persuasion; information design (search for similar items in EconPapers)
JEL-codes: D44 D82 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-des, nep-gth and nep-mic
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Working Paper: Optimal Auctions With Signaling Bidders (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:zbw:zewdip:20091
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