We study equilibrium determination in an environment where two kinds of agents have different information sets: The fully informed agents know the structure of the model and observe histories of all exogenous and endogenous variables. The less informed agents observe only a strict subset of the...

We consider a set of potentially misspecified structural models, geometrically combine their likelihood functions, and estimate the parameters using composite methods. In a Monte Carlo study, composite estimators dominate likelihood-based estimators in mean squared error and composite models are...

We model transitional dynamics that emerge after the adoption of a new monetary policy rule. We assume that private agents learn about the new policy via Bayesian updating, and we study how learning affects the nature of the transition and the choice of a new rule. Temporarily explosive dynamics...

We consider a set of potentially misspecified structural models, geometrically combine their likelihood functions, and estimate the parameters using composite methods. In a Monte Carlo study, composite estimators dominate likelihood‐based estimators in mean squared error and composite models...

This paper investigates the role of learning by private agents and the central bank (two-sided learning) in a New Keynesian framework in which both sides of the economy have asymmetric and imperfect knowledge about the true data generating process. We assume that all agents employ the data that...

We estimate the full model using Bayesian methods and allow for both determinate and indeterminate equilibria. Our estimates of the resulting equilibria during the Great Inflation of the 1970s reveal that the Fed’s optimal policy response was seen by the private sector as leading to an...

In this paper, I use a Markov chain Monte Carlo algorithm to estimate a model of private‐sector behavior that does not feature private‐sector knowledge of the monetary policymaking process and, instead, leaves firms and households uncertain about how monetary policy is set. The private...

The interaction between monetary and fiscal policy and the associated uncertainty about this interaction have been put on center stage by the recent financial crisis and the associated recession. In our model agents learn about both fiscal and monetary policy rules via the Kalman Filter. In...

We model transitional dynamics that emerge after the adoption of a new monetary-policy rule. We assume that private agents learn about the new policy via Bayesian updating, and we study how learning affects the nature of the transition and choice of a new rule. The model endogenously generates...