forecasting solutions. In this context, the paper develops new forecasting methods for an old problem by employing 13 machine … important variable. GDP per capita and consumer inflation have increased in prominence whereas debt-to-GDP, stock market and …

. Indicators arecompared by means of an in-sample and an out-of-sample forecasting experiment.Predictive accuracy is compared by …

to forecasting area-wide industrial production. To this end, we use various tests that are designed to compare competing …

to forecasting area-wide industrial production. To this end, we use various tests that are designed to compare competing …

forecasting exercises. …

to forecasting area-wide industrial production. To this end, we use various tests that are designed to compare competing …

input to forecasting real US. GDP and the unemployment rate. These time series have been addressed before, but our results …We test and report on time series modelling and forecasting using several US. Leading economic indicators (LEI) as an …-studied macroeconomic series, US. real GDP and the unemployment rate. The Autometrics system substantially reduces regression sum of squares …

and to forecast GDP growth all within the same unified setting. We classify the common component of the variables into … leading, lagging and coincident with respect to the common component of quarter-on-quarter GDP growth. 22% of the variables … Belgian GDP, while they lead euro area GDP and its confidence indicators. Consumer confidence seems to lag. Although the model …

- can be useful for short-term out-of-sample prediction of year-on-year quarterly real GDP growth rates in Switzerland. We … find that the KOF Barometer appears to be useful for prediction of GDP growth rates. Even the earliest forecasts, made … seven months ahead of the first official GDP estimate, allow us to predict GDP growth rates more accurately than forecasts …