use of measures of underlying in?ation to formulate monetary policy and assist in forecasting observed in?ation. Recent … disaggregated price indices for European countries. We then assess the forecasting ability of these factor estimates against other … 12 to 18 months is adopted as a valid criterion to assess forecasting. Empirical results for the ?ve largest euro area …

This paper assesses the forecasting performance of various variable reduction and variable selection methods. A small … and a large set of wisely chosen variables are used in forecasting the industrial production growth for four Euro Area …

use of measures of underlying in?ation to formulate monetary policy and assist in forecasting observed in?ation. Recent … disaggregated price indices for European countries. We then assess the forecasting ability of these factor estimates against other … 12 to 18 months is adopted as a valid criterion to assess forecasting. Empirical results for the ?ve largest euro area …

focusing on forecasting inflation and GDP growth in a panel of countries confirms this finding. …

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 …

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. …

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 for US time series with the …

This paper explores the effects of measurement error on dynamic forecasting models. The paper sets out to illustrate a … is more general. Here, it is shown that for a general class of linear autoregressive forecasting models, the optimal … the measurement error in that data. The gains to be had in forecasting are illustrated using a model of UK business …