Models of macroeconomic learning are populated by agents who possess a great deal of knowledge of the "true" structure of the economy, and yet ignore the impact of their own learning on that structure; they may learn about an equilibrium, but they do not learn within it.  An alternative learning...

Disinflationary episodes are a valuable source of information for economic agents trying to learn about the economy.  This paper is especially interested in how a policymaker can themselves learn by disinflating.  The approach differs from the existing literature, which typically focuses on...

This paper explores the effect of news shocks on the current account and other macroeconomic variables using worldwide giant oil discoveries as a directly observable measure of news shocks about future output - the delay between a discovery and production is on average 4 to 6 years.  We first...

Microfounded macromodels (SDGE models) represent the dominant approach in academic macroeconomics, and their influence now extends to the forecasting models of central banks.  These models appear to adopt a clear methodological approach, which promotes internal consistency above external...

Saddlepath learning occurs when agents learn adaptively using a perceived law of motion that has the same form as the saddlepath relationship in rational expectations equilibrium.  Under saddlepath learning, we obtain a completely general relationship between determinacy and e-stability, and...

This paper presents a pairwise matching model with two-sided information asymmetry to analyse the impact of information costs on endogenous network building and matching by information intermedairies. The framework innovates by examining the role of information costs on incentives for trade...

This paper studies a game of strategic experimentation with two-armed bandits whose risky arm might yield a payoff only after some exponentially distributed random time. Because of free-riding, there is an inefficiently low level of experimentation in any equilibrium where the players use...

In this paper we investigate how cognitive ability influences behavior, success and theevolution of play towards Nash equilibrium in repeated strategic interactions. We study behaviorin a p-beauty contest experiment and find striking differences according to cognitiveability: more cognitively...

Many interactive environments can be represented as games, but they are so large and complex that individual players are in the dark about others' actions and the payoff structure.  This paper analyzes learning behavior in such 'black box' environments, where players' only source of information...

This paper examines the convergence of payoffs and strategies in Erev and Roth`s model of reinforcement learning. When all players use this rule it eliminates iteratively dominated strategies and in two-person constant-sum games average payoffs converge to the value of the game. Strategies...