Optimal Auction Design in a Common Value Model

Working Paper: CEPR ID: DP11783

Authors: Dirk Bergemann; Benjamin A. Brooks; Stephen Morris

Abstract: We study auction design when bidders have a pure common value equal to the maximum of their independent signals. In the revenue maximizing mechanism, each bidder makes a payment that is independent of his signal and the allocation discriminates in favor of bidders with lower signals. We provide a necessary and sufficient condition under which the optimal mechanism reduces to a posted price under which all bidders are equally likely to get the good. This model of pure common values can equivalently be interpreted as model of resale: the bidders have independent private values at the auction stage, and the winner of the auction can make a take-it-or-leave-it-offer in the secondary market under complete information.

Keywords: optimal auction; common values; revenue maximization; resale; posted price; maximum value game; wallet game; descending auction; local incentive constraints; global incentive constraints

JEL Codes: C72; D44; D82; D83


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
constant signal-independent participation fee (G19)revenue generated (H27)
constant probability of receiving the good (D80)revenue generated (H27)
distribution of values (C46)revenue outcome (H27)
lower signals (C24)discriminatory allocation favoring bidders with lower signals (D44)
distribution of bidders' signals (D44)resulting revenue (H27)
reported types (C46)allocation of the good (D61)
local and global incentive constraints (D10)optimal auction design (D44)
constant participation fees and interim winning probabilities (G19)maximum revenue (D41)

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