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 …

predictable. Moreover, using filtering techniques designed to process data subject to revisions, the real-time forecasting … aggregate GDP level appears to be good luck rather than good forecasting. …

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 …

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 …

the pandemic period, as well as for earlier subsamples of relatively high volatility. In historical forecasting, outlier …