’s forecasting performance relative to a number of benchmarks, including a Bayesian VAR. We finally consider several applications to … illustrate the potential contributions the NAWM can make to forecasting and policy analysis. …

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 …

distribution. As an empirical illustration, we use euro area data and compare the forecasting performance of the New Area …

We present an accurate and efficient method for Bayesian forecasting of two financial risk measures, Value-at-Risk and …

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 …

that, in this case, adding stochastic volatility can further improve the forecasting performance of a single-factor BVAR …

This paper analyzes the forecasting performance of an open economy DSGE model, estimated with Bayesian methods, for the … forecasting models such as vector autoregressions (VAR) and vector error correction models (VECM), estimated both by maximum …-dimensional summaries, e.g. the log determinant statistic, as measures of overall forecasting performance. …