How should players bid in keyword auctions such as those used by Google, Yahoo! and MSN? We model ad auctions as a dynamic game of incomplete information, so we can study the convergence and robustness properties of various strategies. In particular, we consider best-response bidding strategies...

Industries with significant scale economies or learning-by-doing may come to be dominated by a single firm. Economists have studied how likely this is to happen, and whether it is efficient, using models where buyers are price or quantity takers, even though these industries are often also...

We argue that the rise of antidumping protection and the proliferation of voluntary export restraints are fundamentally inter-related. We show that both can be explained by a cost-based definition of dumping when the domestic government has incomplete information about the foreign firm's costs....

This paper uses detailed data on sequential offers from seven vastly different real-world bargaining settings to document a robust pattern: agents favor offers that split the difference between the two most recent offers on the table. Our settings include negotiations for used cars, insurance...

In recent years there has been a growing interest in macro models with heterogeneity in information and complementarity in actions. These models deliver promising positive properties, such as heightened inertia and volatility. But they also raise important normative questions, such as whether...

We propose a method for estimating static games of incomplete information. A static game is a generalization of a discrete choice model, such as a multinomial logit or probit, which allows the actions of a group of agents to be interdependent. Unlike most earlier work, the method we propose is...

Most economic analyses presume that there are limited differences in the prior beliefs of individuals, as assumption most often justified by the argument that sufficient common experiences and observations will eliminate disagreements. We investigate this claim using a simple model of Bayesian...

We model differentiated product pricing by firms that possess private information about serially-correlated state variables, such as their marginal costs, and can use prices to signal information to rivals. In a dynamic game, signaling can raise prices significantly above static complete...

Meritocracies that aim to identify high-ability bureaucrats are less effective when performance is imperfectly observed. First, we show meritocratic governments forgo output maximization when they design incentives that screen for ability. This trade-off has empirical implications that reveal...

We provide a dynamic model of an industry in which agents strategically time liquidation decisions in an effort to protect their reputations. As in traditional models, agents delay liquidation attempting to signal their quality. However, when the industry faces a common shock that...