We introduce intention-based social preferences into mechanism design. We explore information structures that dier with respect to what is commonly known about the weight that agents attach to reciprocal kindness. When the designer has no information on reciprocity types, implementability of an...

We introduce intention-based social preferences into a Bayesian mechanism design framework. We first show that, under common knowledge of social preferences, any tension between material efficiency, incentive compatibility, and voluntary participation can be resolved. Hence, famous impossibility...

We consider k agents who have different subjective probabilities and are utility maximizers. A planner, who knows the beliefs of the agents, maximizes the social expected utility, which is increasing and symmetric in the utilities of the agents. She does that by optimally stopping the flow of...

Sender conveys scarce information to a number of receivers to maximize the sum of receiver payoffs. Each receiver's payoff depends on the state of the world and an action she takes. The optimal action is state contingent. Under mild regularity conditions, we show that the payoff of each receiver...