This paper develops a dynamic stochastic general equilibrium model where firms are imperfectly informed. We estimate the model through likelihood-based methods and find that it can explain the highly persistent real effects of monetary disturbances that are documented by a benchmark VAR. The...

We develop a DSGE model in which the policy rate signals the central bank's view about macroeconomic developments to incompletely informed price setters. The model is estimated with likelihood methods on a U.S. data set including the Survey of Professional Forecasters as a measure of price...

We introduce two new methods for estimating the Marginal Data Density (MDD) from the Gibbs output, which are based on exploiting the analytical tractability condition. Such a condition requires that some parameter blocks can be analytically integrated out from the conditional posterior...

This paper develops methods to study the evolution of agents' expectations and uncertainty in general equilibrium models. A central insight consists of recognizing that the evolution of agents' beliefs can be captured by defining a set of regimes that are characterized by the degree of agents'...

We introduce two estimators for estimating the Marginal Data Density (MDD) from the Gibbs output. Our methods are based on exploiting the analytical tractability condition, which requires that some parameter blocks can be analytically integrated out from the conditional posterior densities. This...

We study contact tracing in a new macro-epidemiological model in which infected agents may not show any symptoms of the disease and the availability of tests to detect these asymptomatic spreaders of the virus is limited. Contact tracing is a testing strategy aiming at reconstructing the...

We analyze the framework for monetary policy in view of the effective lower bound (ELB). We find that the ELB is likely to bind in most future recessions and propose some ways that theoretical models imply that the framework could be strengthened. We also discuss ways that commitment strategies,...