We study the role of observability in bargaining with correlated values. Short-run buyers sequentially submit offers to one seller. When previous offers are observable, bargaining is likely to end up in an impasse. In contrast, when offers are hidden, agreement is always reached, although with...

This paper shows how competition generates reputation-building behavior in repeated interactions when the product quality observed by consumers is a noisy signal of firms' effort level. There are two types of firms and "good" firms try to distinguish themselves from "bad" firms. Although...

We analyze the optimal design of dynamic mechanisms in the absence of transfers. The designer uses future allocation decisions to elicit private information. Values evolve according to a two-state Markov chain. We solve for the optimal allocation rule, which permits a simple implementation....

We introduce a class of strategies which generalizes examples constructed in two-player games under imperfect private monitoring. A sequential equilibrium is belief-free if, after every private history, each player.s continuation strategy is optimal independently of his belief about his...

We consider the problem of a monopolist who must sell her inventory before some deadline, facing n buyers with independent private values. The monopolist posts prices but has no commitment power. The seller faces a basic trade-off between imperfect price discrimination and maintaining an...

This paper brings mechanism design to the study of conflict resolution in international relations. We determine when and how unmediated communication and mediation reduce the ex ante probability of conflict, in a simple game where conflict is due to asymmetric information. Unmediated...

We investigate the role of market transparency in repeated first-price auctions. We consider a setting with private and independent values across bidders. The values are assumed to be perfectly persistent over time.We analyze the first-price auction under three distinct disclosure regimes...