forecasting euro area manufacturing production. Following Boivin and Ng (2006), the emphasis is put on the role of dataset …

forecasting power of these models for the Japanese economy. In this paper, we aim at assessing the relative performance of factor …. For most of the components, we report that factor models yield lower forecasting errors than a simple AR process or an … improvements in terms of forecasting accuracy are found for more volatile periods, such as the recent financial crisis. However …

forecasting power of these models for the Japanese economy. In this paper, we aim at assessing the relative performance of factor …. For most of the components, we report that factor models yield lower forecasting errors than a simple AR process or an … improvements in terms of forecasting accuracy are found for more volatile periods, such as the recent financial crisis. However …

representation. For the estimation we adopt the methodology exposed in Banbura and Modugno (2010). In contrast to other existing …

In this paper we review the methodology of forecasting with log-linearised DSGE models using Bayesian methods. We focus … on the estimation of their predictive distributions, with special attention being paid to the mean and the covariance … matrix of h-step ahead forecasts. In the empirical analysis, we examine the forecasting performance of the New Area …

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

) Macroeconomic Projection Exercises regularly undertaken by ECB/Eurosystem staff. We present estimation results for the NAWM that are …’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. JEL Classification: C11, C32, E32, E …