We analyze the behavior of producers who compete through price competition in a social environment from a sociological point of view. The standard model of Bertrand price competition is enriched with producers who follow a "Win Cooperate, Lose Defect" (WCLD) strategy. This strategy is a...

Applying unawareness belief structures introduced in Heifetz, Meier, and Schipper (2013a), we develop Bayesian games with unawareness, define equilibrium, and prove existence. We show how equilibria are extended naturally from lower to higher awareness levels and restricted from higher to lower...

We experimentally investigate a repeated "inspection game" where, in the stage game, an employee can either work or shirk and an employer simultaneously chooses to inspect or not inspect. The unique equilibrium of the stage game is in mixed strategies with positive probabilities of...

We define a generalized state-space model with interactive unawareness and probabilistic beliefs. Such models are desirable for many potential applications of asymmetric unawareness. We develop Bayesian games with unawareness, define equilibrium, and prove existence. We show how equilibria are...

This paper provides an argument for the advantage of a preference for identity-consistent behaviour from an evolutionary point of view. Within a stylised model of social interaction, we show that the development of cooperative social norms is greatly facilitated if the agents of the society...

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 experimentally investigate how reputational concerns affect behavior in repeated Tullock contests by comparing expenditures of participants interacting in fixed groups with the expenditures of participants interacting with randomly changing opponents. When participants receive full...