Wage inequality in the United States has grown substantially in the past two decades. Standard supply-demand analysis in the empirics of inequality (e.g.Katz and Murphy (1992)) indicates that we may attribute some of this trend to an outward shift in the demand for high skilled labor. In this...

Models of the exchange process based on search theory can be used to analyze the features of objects that make them more or less likely to emerge as ``money'' in equilibrium. These models illustrate the trade--off between endogenous acceptability (an equilibrium property) and intrinsic...

Why do people coordinate on the use of valueless pieces of paper as generally accepted money? A possible answer is that these objects have intrinsic properties that make them better candidates to be used as media of exchange. Another answer stresses the fact that unconvertible fiat money will...

We extend Aumann's [3] theorem, deriving correlated equilibria as a consequence of common priors and common knowledge of rationality, by explicitly allowing for non-rational behavior. We replace the assumption of common knowledge of rationality with a substantially weaker one, joint p-belief of...

We study an interactive framework that explicitly allows for non-rational behavior. We do not place any restrictions on how players can deviate from rational behavior. Instead we assume that there exists a lower bound p E [0,1] such that all players play and are believed to play rationally with...

Economic predictions are highly sensitive to model and informational specifications. Weinstein and Yildiz (2007) show that, in static games with incomplete information, only very weak predictions, namely, the interim correlated rationalizable (ICR) actions, are robust to higher-order belief...

Why do public-sector workers receive so much of their compensation in the form of pensions and other benefits? This paper presents a political economy model in which politicians compete for taxpayers' and government employees' votes by promising compensation packages, but some voters cannot...

We consider an agent who has to repeatedly make choices in an uncertain and changing environment, who has full information of the past, who discounts future payoffs, but who has no prior. We provide a learning algorithm that performs almost as well as the best of a given finite number of experts...