quantitative macroeconomics. However, DSGE models were not considered as a forecasting tool until very recently. The objective of … this paper is twofold. First, we compare the forecasting ability of a canonical DSGE model for the Spanish economy with … VAR operates with artificial series obtained from a DSGE model. The results indicate that the out-of-sample forecasting …

. While the forecasting error of the combined forecast tends to be systematically smaller than that of the individual model …

explores various specifications of decompositions and various forecasting experiments. The result from these horse-races is … for richer forecasting specifications, the paper shows, using Bayesian model averaging techniques (BMA), that the …

comparison methodology, we find that boosting is a serious competitor for forecasting US industrial production growth in the …

Models based on economic theory have serious problems at forecasting exchange rates better than simple univariate … forecasting. In addition, we adopt a driftless random walk prior, so that cross-dynamics matter for forecasting only if there is …

The paper addresses the issue of forecasting a large set of variables using multivariate models. In particular, we … propose three alternative reduced rank forecasting models and compare their predictive performance with the most promising …

-term forecasting of employment in Switzerland aggregated in the KOF Employment Indicator. We use the real time dataset in order to …