We examine the effects of increased international integration of both goods and financial markets on business cycle dynamics. To do so, we develop a new econometric framework for modelling cross-country spillovers in which the magnitude of these spillovers is an empirically determined function...

We revisit medium- to long-run exchange rate determination, focusing on the role of international investment positions. To do so, we make use of a new econometric framework accounting for conditional long-run homogeneity in heterogeneous dynamic panel data models. In particular, in our model the...

The establishment of the ECB and with it the launch of the euro has arguably been a unique endeavor in economic history, representing an important experiment in central banking. This note aims to summarize some of the main lessons learned from this experiment and sketch some of the prospects for...

Against the backdrop of elevated model uncertainty in DSGE models with a detailed modeling of financial intermediaries, we investigate the performance of optimized macroprudential policy rules within and across models. Using three canonical banking DSGE models as a representative sample, we show...

The purpose of the paper is to develop a Regime-Switching Global Vector Autoregressive (RS-GVAR) model. The RS-GVAR model allows for recurring or non-recurring structural changes in all or a subset of countries. It can be used to generate regime-dependent impulse response functions which are...

This paper considers the solution of multivariate linear rational expectations models. It is described how all possible classes of solutions (namely, the unique stable solution, multiple stable solutions, and the case where no stable solution exists) of such models can be characterized using the...

In this paper we revisit medium- to long-run exchange rate determination, focusing on the role of international investment positions. To do so, we develop a new econometric framework accounting for conditional long-run homogeneity in heterogeneous dynamic panel data models. In particular, in our...

This paper considers estimation and inference in panel vector autoregressions with fixed effects when the time dimension of the panel is finite, and the cross-sectional dimension is large. A Maximum Likelihood estimator based on a transformed likelihood function is proposed and shown to be...