Information Asymmetries in Common-Value Auctions with Discrete Signals

成果类型:
Article
署名作者:
Syrgkanis, Vasilis; Kempe, David; Tardos, Eva
署名单位:
Microsoft; University of Southern California; Cornell University
刊物名称:
MATHEMATICS OF OPERATIONS RESEARCH
ISSN/ISSBN:
0364-765X
DOI:
10.1287/moor.2018.0979
发表日期:
2019
页码:
1450-1476
关键词:
All-pay auctions MODEL MONOTONICITY equilibrium acquisition bidder
摘要:
We consider common-value hybrid auctions among two asymmetrically informed bidders, in which the winning bidder pays his bid with some positive probability kappa and the losing bid otherwise. Under the assumption of discrete and affiliated signals, we give an explicit characterization of the (unique) equilibrium based on a simple recurrence relation, which gives rise to a linear-time algorithm for explicitly computing the equilibrium. By analyzing the execution of the algorithm, we derive several insights about the equilibrium structure. First, we show that equilibrium revenue is decreasing in kappa and that the limit second-price equilibrium selected as kappa -> 0 has the highest revenue, in stark contrast to the revenue collapse of the second-price auction predicted by the trembling-hand equilibrium selection proposed in prior work. We further show that the linkage principle can fail to hold even in a pure first-price auction with binary signals: public revelation of a signal to both bidders may decrease the auctioneer's revenue. Finally, we analyze the effects of public acquisition of additional information on bidder utilities and exhibit cases in which both bidders strictly prefer for a specific bidder to receive additional information.