This chapter studies how incomplete information helps accommodate frictions in coordination, leading to novel insights on the joint determination of expectations and macroeconomic outcomes. We review and synthesize recent work on global games, beauty contests, and their applications. We...

This chapter studies how incomplete information helps accommodate frictions in coordination, leading to novel insights on the joint determination of expectations and macroeconomic outcomes. We review and synthesize recent work on global games, beauty contests, and their applications. We...

This paper describes optimal contracts in a dynamic costly state verification model with stochastic monitoring. An agent operates a risky project on behalf of a principal over several periods. Each period, the principal can observe the revenues from the project provided he incurs a fixed cost....

We study the problem of multiple principals who want to obtain income from a privately informed agent and design their contracts non-cooperatively. Our analysis reveals that the degree of coordination between principals has strong implications for the shapes of contracts and the amount of...

Rationalizability is a central concept in game theory. Since there may be many rationalizable strategies, applications commonly use refinements to obtain sharp predictions. In an important paper, Weinstein and Yildiz (2007) show that no refinement is robust to perturbations of high-order...

We contrast a standard deterministic signaling game with a variant where the signal-generating mechanism is subject to stochastic perturbations. In the theoretical part, we obtain a unique equilibrium with stochastic signals. This equilibrium is separating and has intuitive comparative-static...

Global games with endogenous information often exhibit multiple equilibria. In this paper we show how one can nevertheless identify useful predictions that are robust across all equilibria and that could not have been delivered in the common-knowledge counterparts of these games. Our analysis is...

We derive conditions on the learning environment - which encompasses both Bayesian and non-Bayesian processes - ensuring that an efficient allocation of resources is achievable in a dynamic allocation environment where impatient, privately informed agents arrive over time, and where the designer...

Empirical and experimental findings suggest that players may underestimate others' private information in incomplete-information games. We modify standard epistemic assumptions of static incomplete-information games to allow partial signal-awareness. That is, players can be unaware of some of...