-time estimates to check the stability of the estimates to GDP revisions. We finally run a forecasting experiment to evaluate the … estimates in real time. Our measures help forecasting inflation over most of our evaluation sample (2001-2010) but fail …

We propose a new method for medium-term forecasting using exogenous information. We first show how a shifting … for estimating the model parameters. In forecasting inflation, the central bank inflation target, if it exists, is a … natural example of such exogenous information. We illustrate the application of our method by an out-of-sample forecasting …

series at annual frequency. This makes the analysis useful in the typical forecasting environment of large institutions … of the aggregate. Second, we employ a Mixed Data Sampling (MiDaS) approach to analyze mixed frequency fiscal data, which … is a methodological novelty. It is shown that MiDaS is the best approach for the analysis of mixed frequency fi scal data …

-frequency models, introducing a Bayesian approach to reverse unrestricted MIDAS models (RU-MIDAS). We study the forecasting accuracy … forecasting daily electricity prices in two of the main European markets, Germany and Italy. We do that by means of mixed …

to the cross-sectional dimension, the forecasting performance of small monetary VARs can be improved by adding additional …

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 …

of country-specific determinants. This paper shows empirically the superiority of direct forecasting methods, in which …

forecasting together with cross-equation accounting identities. A pseudo real-time forecasting exercise indicates that the model … outperforms various benchmarks, such as quarterly time series models and bridge equations in forecasting growth in quarterly GDP …