Neeman (2004) and Heifetz and Neeman (2006) have shown that, in auctions with incomplete information about payoffs, full surplus extraction is only possible if agents’ beliefs about other agents are fully informative about their own payoff parameters. They argue that the set of...

This paper extends the discussion of the relationship between Bayesian stability and Bayesian efficiency in Liu(2020). We focus on the worst possible case for workers, in which firms offer workers wages exactly opposite to workers’ initial payoffs, so that workers will always enjoy a zero...

McAfee and Reny (1992) have given a necessary and sufficient condition for full surplus extraction in naive type spaces with a continuum of payoff types. We generalize their characterization to arbitrary abstract type spaces and to the universal type space and show that in each setting, full...

This paper proposes the Stochastic-Share Contest, a novel contest format that combines the Winner-Take-All Contest and the Proportional-Prize Contest, with the former nesting the latter two as special cases. Motivated by the experimental contest literature, we include risk aversion and a "joy of...

We study a general static noisy rational expectations model, where investors have private information about asset payoffs, with common and private components, and about their own exposure to an aggregate risk factor, and derive conditions for existence and uniqueness (or multiplicity) of...

We consider a cheap talk game with a sender who has a reputational concern for an ability to predict a state of the world correctly, and where receivers may misunderstand the message sent. When communication between the sender and each receiver is private, we identify an equilibrium in which the...

We allow a strategic trader to choose when to acquire information about an asset's payoff, instead of endowing her with it. When the trader dynamically controls the precision of a flow of information, the optimal precision evolves stochastically and increases with market liquidity. However,...

How do traders process and learn from market information, what trading strategies should they use, and how does learning affect the market? This paper proposes a two-sided learning model of an artificial limit order market with asymmetric information to address these issues. Using a genetic...

This paper performs a welfare analysis of markets with private information in which agents can condition on noisy prices in the rational expectations tradition. Price-contingent strategies introduce two externalities in the use of private information: a payoff (pecuniary) externality related to...

This paper studies information acquisition and use in network games. The network structure incorporates both strategic complements (positive links) and substitutes (negative links). An information-use game played on a correlation-adjusted network is derived. Equilibrium inefficiencies in both...