The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...

In this paper we propose a new real-time forecasting model for euro area GDP growth, D€STINY, which attempts to bridge the existing gap in the literature between large- and small-scale dynamic factor models. By adopting a disaggregated modelling approach, D€STINY uses most of the information...

This paper has updated the assessment of the Commission's forecasts' track record from 1999 by extending the observation period from 1969-1997 to also take into account the forecasts and outcome for the years 1998-2005. This update has also included some further tests on e.g. informational...

The paper introduces an approximate dynamic factor model based on the extraction of principal components from a very large number of leading indicators stacked at various lags. The model is designed to produce short-term forecasts that are computed with the EM algorithm implemented with the...

This paper introduces a statistical model for short-term GDP forecasting based on approximate dynamic factors (Stock and Watson methodology), extracted from a very large number of leading indicators sorted according to their correlations at various lags to euro-area GDP (Sorted Leading...

Economic forecasts are widely used as a basis for economic policy analysis and decision-making. This calls for a regular assessment of forecasting performance. In recognition of the importance of providing high-quality predictions, the Commission's forecasting performance was first examined by...