yields a set of structural equations that are used to construct the statistic. I provide two estimation strategies for the …

We study the forecasting performance of three alternative large scale approaches using a dataset for Germany that … vector autoregression and model averaging techniques, where aggregation takes place before, during and after the estimation … indicate that in many cases the gains in forecasting accuracy relative to a simple univariate autoregression are only moderate …

) models affects their forecasting performance. We apply this analysis to medium-scale DSGE models with and without financial … with financial frictions outperform in forecasting inflation but not the GDP growth rate. …

nowcasting and forecasting business cycle turning points. The results show evidence for the superior predictive power of our …

model framework uses a novel covariance matrix specification. Model estimation and real-time filtering of the latent …