We propose a method for solving and estimating linear rational expectations models that exhibit indeterminacy and we provide step-by-step guidelines for implementing this method in the Matlab-based packages Dynare and Gensys. Our method redefines a subset of expectational errors as new...

We reinterpret post World War II US economic history using an estimated microfounded model that allows for changes in the monetary/fiscal policy mix. We find that the fiscal authority was the leading authority in the '60s and the '70s. The appointment of Volcker marked a change in the conduct of...

This paper develops a stochastic growth model of a small open economy augmented with banks. We estimate the model by using Bayesian methods and examine how capital controls affect the economy's welfare. The results of our our analysis show that there exits an optimal degree of capital controls...

We introduce an approach for semi-parametric inference in dynamic binary choice models that does not impose distributional assumptions on the state variables unobserved by the econometrician. The proposed framework combines Bayesian inference with partial identification results. The method is...

Widely used methods for analyzing missing data can be biased in small samples. To understand these biases, we evaluate in detail the situation where a small univariate normal sample, with values missing at random, is analyzed using either observed-data maximum likelihood (ML) or multiple...

Online appendix to Barcelona GSE Working Paper No. 684

Estimation of discrete games of complete information, which have been applied to a variety of contexts such as market entry, technology adoption and peer effects, is challenging due to the presence of multiple equilibria. In this paper, we take a Bayesian MCMC approach to this problem,...

How important are nontradable goods and distribution costs to explain real exchange rate dynamics? We answer this question by estimating a general equilibrium model with intermediate and final tradable and nontradable goods. We find that the estimated model can match characteristics of the data...