This paper examines evidence of long- and short-run co-movement in Canadian sectoral output data. Our framework builds on a vector-error-correction representation that allows to test for and compute full-information maximum-likelihood estimates of models with codependent cycle restrictions. We...

We develop a technique for analyzing the dynamics of shocks in structural linear rational expectations models. Our work differs from standard SVARs since we allow expectations of future variables to enter structural equations. We show how to estimate the variance-covariance matrix of fundamental...

This paper estimates simple regime-switching rules for monetary policy and tax policy over the post-war period in the United States and imposes the estimated policy process on a standard dynamic stochastic general equilibrium model with nominal rigidities. The estimated joint policy process...

This paper compares a number of alternative specifications for price setting in the context of the Smets-Wouters (2003) Dynamic Stochastic General Equilibrium model. We compare the Calvo model with a standard Taylor contracting model and show that by allowing for sector-specific capital the...

This paper aims to evaluate the importance of frictions in credit markets for business cycles in the U.S. and the Euro area. For this purpose, I modify the DSGE financial accelerator model developed by Bernanke, Gertler and Gilchrist (1999) and estimate it using Bayesian methods. The model is...

This paper presents an estimated DSGE model for the European Monetary Union. Our approach, contrary to the previous studies, accounts for heterogeneity within the euro area. In the estimation we utilize disaggregated information, employing single country data, along with the aggregated EMU by...

In this paper, we revisit the effects of government spending shocks on private aggregate consumption within an estimated New-Keynesian DSGE model of the euro area featuring non-Ricardian households and a relatively detailed fiscal policy set up. Employing Bayesian inference methods, we show that...