Using Bayesian methods, we estimate a small open economy model for Sweden. We explicitly account for a monetary regime change from an exchange rate target zone to flexible exchange rates with explicit inflation targeting. In each of these regimes, we analyze the behavior of the monetary...

This paper estimates a monetary DSGE model with learning introduced from the primitive assumptions. The model nests infinite-horizon learning and features, such as habit formation in consumption and inflation indexation, that are essential for the model fit under rational expectations. I...

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 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...

We decompose the Danish business cycle into ten structural shocks using an open-economy DSGE model with infrequent determination of prices and wages which we estimate with Bayesian techniques. Consistent with the Danish monetary policy regime, we formulate an imperfect peg on the foreign...

Purpose – The purpose of this paper is to describe the transformation of macro‐modelling from reduced form behavioural equations estimated separately, through to contemporary microfounded dynamic stochastic general equilibrium (DSGE) models estimated by systems methods. It is argued that...

In the context of a dynamic, stochastic, general equilibrium model, we perform classical maximum-likelihood and Bayesian estimations of the contribution of anticipated shocks to business cycles in the postwar United States. Our identification approach relies on the fact that forward-looking...

Using Bayesian methods, we estimate a nonlinear DSGE model in which the interest-rate lower bound is occasionally binding. We quantify the size and nature of disturbances that pushed the U.S. economy to the lower bound in late 2008 as well as the contribution of the lower bound constraint to the...

This paper quantifies the importance of news shocks for housing market fluctuations. To this purpose, we extend Iacoviello and Neri (2010)'s model of the housing market to include news shocks and estimate it using Bayesian methods and U.S. data. We find that news shocks: (1) account for a...