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In this note the author discusses the problem of updating forecasts in a time-discrete forecasting model when information arrives between the current period and the next period. To use the information that arrives between two periods, he assumes that the process between two periods can be...
Persistent link: https://www.econbiz.de/10003828904
Persistent link: https://www.econbiz.de/10002610966
In this paper, we investigate the instability in a self-exciting regime-switchingautoregressive model that is locally stable in each of its regimes respectively. It turnsout that the stability locally in each of the regimes is not sufficient to guarantee thestability of the model. The mechanism...
Persistent link: https://www.econbiz.de/10013243136
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...
Persistent link: https://www.econbiz.de/10013132405
Over-borrowing and financial stress has recently become an important issue in macroeconomic and policy discussions in the US as well as in the EU. In this paper we study two regimes of financial stress. In a regime of high financial stress, stress shocks can have large and persistent impacts on...
Persistent link: https://www.econbiz.de/10009718255
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...
Persistent link: https://www.econbiz.de/10003631630
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...
Persistent link: https://www.econbiz.de/10003626056
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...
Persistent link: https://www.econbiz.de/10003520286
Persistent link: https://www.econbiz.de/10003304133
Persistent link: https://www.econbiz.de/10003304136