made in the first oil price shock of the 1970s. In response to the challenges encountered in forecasting in recent years … and the lessons learnt, the OECD and other international organisations have sought to improve their forecasting techniques …

performance indicates that it is worthwhile to include a broad group of forecasting models based on the different methodologies … other combination methods, the forecasting errors are lower, even in times of high uncertainty. …

short-term forecasting models. These empirical findings have been established for different macroeconomic data sets and … specification is most effective in its forecasting performance. Furthermore, the forecast performances of the different … extended empirical out-of-sample forecasting competition for quarterly growth of gross domestic product in the euro area and …

series forecasting models for economic variables. In these models, the reduction of the predictors and the modeling and … forecasting of the response y are carried out in two separate and independent phases. We introduce a potentially more attractive … of widely used macroeconomic series data with one or two sufficient reductions delivering similar forecasting performance …

conduct a pseudo out-of-sample forecasting experiment for the monthly growth rate of Bavarian industrial production. We find … conventional indicators in a monthly forecasting experiment. Exploiting the high-frequency nature of the data, we find that the …