We investigate how an informed designer maximizes her objective when facinga player whose payoff depends on both the designer's private information andon an unknown state within the classical quasilinear environment. Thedesigner can disclose arbitrary information about the state via...

We examine optimal information disclosure through Bayesian persuasion in a two-player contest. One contestant's valuation is commonly known and the other's is his private information. The contest organiser can precommit to a signal to in uence the uninformed contestant's belief about the...

In this paper, we examine the optimal mechanism design of selling an indivisible object to one regular buyer and one publicly known buyer, where inter-buyer resale cannot be prohibited. The resale market is modeled as a stochastic ultimatum bargaining game between the two buyers. We fully...

We examine how disclosure policy can be optimally designed to incentivize contestants when their participation is exogenously stochastic. In a generalized Tullock contest setting with two players who are asymmetric in both their values and entry probabilities, we fully characterize the necessary...