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 …

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 …

We investigate the potential for statistical forecasting of aggregate oil and gas investment on the Norwegian …

This paper applies component-wise boosting to the topic of regional economic forecasting. Component-wise boosting is a … pre-selection algorithm of indicators for forecasting. By using unique quarterly real gross domestic product data for two … economic forecasting. We additionally take a closer look into the algorithm and ask which indicators get selected. All in all …

forecasting performance of the various model specifications. The extension of a basic growth model with a constant mean to models … expectations is important for forecasting growth in specific periods, such as the the recession periods around 2000s and around …

This paper looks into the 'fine print' of boosting for economic forecasting. By using German industrial production for … selected by the boosting algorithm over time and four different forecasting horizons. It turns out that a number of hard … therefore important to forecasting the performance of the German economy. However, there are indicators such as money supply …