The objective of this paper is to apply the method developed in Garratt, Lee, Pesaran, and Shin (2000) to build a structural model for Germany with a transparent and theoretically coherent foundation. The modelling strategy consists of a set of long-run structural relationships suggested by...

The objective of this paper is to apply the method developed in Garratt, Lee, Pesaran, and Shin (2000) to build a structural model for Germany with a transparent and theoretically coherent foundation. The modelling strategy consists of a set of long-run structural relationships suggested by...

Applying a probabilistic causal approach, we define a class of time series causal models (TSCM) based on stationary Bayesian networks. A TSCM can be seen as a structural VAR identified by the causal relations among the variables. We classify TSCMs into observationally equivalent classes by...

Applying a probabilistic causal approach, we define a class of time series causal models (TSCM) based on stationary Bayesian networks. A TSCM can be seen as a structural VAR identified by the causal relations among the variables. We classify TSCMs into observationally equivalent classes by...

To provide an modelling strategy with transparent and theoretically coherent foundation has been one of the targets of the paper by Garratt, Lee, Pesaran and Shin. They develop a core model for a small open economy based production technology, arbitrage conditions, flow identities and long-run...

The globalization process leads to increasing synchronization of business cycle among different countries. As a consequence, many policy makers and Central Banks are afraid of vulnerabilities of their country arising from external risk drivers. In this paper we develop a multi-regime global VAR...

Monetary responses to financial stress have recently become an important issue in macroeconomic and policy discussions in the USA as well as in the EU. In this paper, the authors study two regimes of monetary responses. While the fundamentals of an economy are assumed to have a long-run...