In this paper we review the methodology of forecasting with log-linearised DSGE models using Bayesian methods. We focus … matrix of h-step 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 …

GDP forecasters face tough choices over which leading indicators to follow and which forecasting models to use. To help …, Russia. Numerous useful indicators are identified and forecast pooling of three model classes (bridge models, MIDAS models …

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 …

. Nevertheless, their forecasting properties are still barely explored. We fill this gap by comparing the quality of real … priors from a DSGE model. We show that the analyzed DSGE model is relatively successful in forecasting the US economy in the … accurate short-term forecasts for interest rates. Conditional on experts' now casts, however, the forecasting power of the DSGE …

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 …

We propose a new approach to forecasting the term structure of interest rates, which allows to efficiently extract the … forecasting performance of our proposed model relative to most of the existing alternative specifications. While most of the … useful for forecasting. …

aggregates are time-varying, much of the literature on forecasting aggregates considers the case of linear aggregates with fixed … theoretical setup and the forecasting results. …

forecast combinations, which are widely used in macroeconomic forecasting, and compares these with a lesser known alternative …