to forecasting area-wide industrial production. To this end, we use various tests that are designed to compare competing …

In this paper we review the methodology of forecasting with log-linearised DSGE models using Bayesian methods. We focus … matrix of h-steps ahead forecasts. In the empirical analysis, we examine the forecasting performance of the New Area … scope for improving the NAWM's forecasting performance. For example, the model is not able to explain the moderation in wage …

Empirical assessments of the forecasting power of spatial panel data econometric models are still scarcely available … simulations are obviously useful to evaluate the properties and forecasting power of competing estimators, the empirical set … unemployment data for France, Germany, Italy, Spain and Switzerland. Additionally, we test different forecasting horizons, in order …

priors entertained for all variables at all forecasting horizons. …

need to be included in a VAR if interest is in forecasting or impulse response analysis of a given set of variables. We … including the selected variables into VARs typically improves forecasting accuracy at short horizons. …

and forecasting as well as for "what-if" inferring suitable for entities of all sizes. In particular, it allows for …