Information concentration in common value environments
We consider how information concentration affects a seller’s revenue in common value auctions. The common value is a function of $$n$$ random variables partitioned among $$m \le n$$ bidders. For each partition, the seller devises an optimal mechanism. We show that whenever the value function allows scalar sufficient statistics for each player’s signals, the mechanism design problem is well-defined. Additionally, whenever a common regularity condition is satisfied, a coarser partition always reduces revenues. In particular, any merger or collusion among bidders reduces revenue. Copyright Springer-Verlag Berlin Heidelberg 2013
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Volume (Year): 17 (2013)
Issue (Month): 3 (September)
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