We study a model in which two perfectly informed experts offer advice to a decision maker whose actions affect the welfare of all. Experts are biased and thus may wish to pull the decision maker in different directions and to different degrees. When the decision maker consults only a single...

We study the continuous time Brown-Robinson fictitious play process f or non-zero sum games. We show that, in general, fictitious play cannot converg e cyclically to a mixed strategy equilibrium in which both players use more tha n two pure strategies.

We study Bayesian mechanism design in situations where agents' information may be multi-dimensional, concentrating on mechanisms that lead to efficient allocations. Our main result is that a generalization of the well-known Vickrey-Clarke-Groves mechanism maximizes the planner's "revenue'' among...

Motivated by recent auctions of licenses for the radio frequency spec trum, we consider situations where multiple objects are auctioned simultaneousl y by means of a second-price, sealed-bid auction. For some buyers, called globa l bidders, the value of multiple objects exceeds the sum of the...

We study a model in which two perfectly informed experts offer advice to a decision maker whose actions affect the welfare of all. Experts are biased and thus may wish to pull the decision maker in different directions and to different degrees. When the decision maker consults only a single...

Organizational theory suggests that authority should lie in the hands of those with information, yet the power to transfer authority is rarely absolute in practice. We investigate the validity and application of this advice in a model of optimal contracting between an uninformed principal and...

Through accessible, detailed examinations of themes central to auction theory, Vijay Krishna explores auctions and competitive bidding as games of incomplete information. His results on bidding strategies, efficiency, and revenue maximization, and his clear proofs for each proposition, make this...