I characterize the implications of the common prior assumption for finite orders of beliefs about beliefs at a state and show that the only such implications are those stemming from the weaker assumption of a common support. More precisely, given any model where priors have the same support and...

We study certain classes of supermodular and submodular games which are symmetric with respect to material payoffs but in which not all players seek to maximize their material payoffs. Specifically, a subset of players have negatively interdependent preferences and care not only about their own...

Several axioms concerning probabilistic beliefs are examined here, and the relations between them are established, using belief spaces that generalize Harsanyi type spaces. Two axioms concerning high-order probabilistic beliefs are investigated in particular. The first is the triviality axiom,...

The Nash equilibrium solution concept for games is based on the assumption of expected utility maximization. Reference dependent utility functions (in which utility is determined not only by an outcome, but also by the relationship of the outcome to a reference point) are a better predictor of...

We analyze the problem of coordinating upon asymmetric equilibria in a symmetric game, such as the battle-of-the-sexes. In repeated interaction, asymmetric coordination is possible possible via symmetric repeated game strategies. This requires that players randomize initially and adopt a...

We study whether "coercive" public provision or voluntary private provision of public goods can survive when individuals who "vote with their feet" can choose between communities that differ in the way that public goods are provided. We obtain the following findings: (i) an equilibrium always...

We examine a simple bargaining setting, where heterogeneous buyers and sellers are repeatedly matched with each other. We begin by characterizing efficiency in such a dynamic setting, and discuss how it differs from efficiency in a centralized static setting. We then study the allocations which...

Bayesian Statisticians, decision theorists, and game theorists often use Bayesian representations to describe the probability distribution governing the evolution of a stochastic process. Generally, however, one given distribution has infinitely many different Bayesian representations. This...

The model of a non-Bayesian agent who faces a repeated game with incomplete informationagainst Nature is an appropriate tool for modeling general agent- environment interactions. In such a modelthe environment state (controlled by Nature) may change arbitrarily and the reward function is...

The literary source of the main ideas in Aumann's article ``Backward Induction and Common Knowledge of Rationality" is exposed and analyzed. The primordial archetypal images that underlie both this literary source and Aumann's work are delineated and are used to explain the great emotive impact...