In Bayesian analysis of VAR-models, and especially in forecasting applications, the Minnesota prior of Litterman is … report on the forecasting performance of the different prior distributions considered in the paper. …

models for forecasting, although this proved to be problem- atic due to estimation and identification issues. Hybrid DSGE … the EU debt crisis. The results of this study can be useful in conducting monetary policy analysis and macro-forecasting …

monetary policy analysis and macro-forecasting with the use of advanced Bayesian methods. …

models for forecasting, although this proved to be problematic due to estimation and identi.cation issues. Hybrid DSGE models … results of this study can be useful in conducting monetary policy analysis and macro-forecasting in the Euro area. …

Standard VAR and Bayesian VAR models are proven to be reliable tools for modeling and forecasting, yet they are still … specifications of the VAR and BVAR models for the IP and Euribor series provide with better forecasting performance. Interestingly …

This paper examines the forecasting performance of DSGE models with and without banking intermediation for the US … forecasting horizon/period. To interpret this finding it is crucial to take into account parameters instabilities showed by a … forecasting performance of output and inflation in the recent period. …

forecasting performance of Bayesian VAR models is satisfactory for most interest rates and their superiority in performance is …

aggregation for the series in the data set. We consider two evaluation samples for the out-of-sample forecasting exercise to … assess the stability of the forecasting performance. We find that the effect of the data set size on the forecasting … forecasting process. …