The forecasting uncertainty around point macroeconomic forecasts is usually measured by the historical performance of the forecasting model, using measures such as root mean squared forecasting errors (RMSE). This measure, however, has the major drawback that it is constant over time and hence...

The present paper develops Adaptive Trees, a new machine learning approach specifically designed for economic forecasting. Economic forecasting is made difficult by economic complexity, which implies non-linearities (multiple interactions and discontinuities) and unknown structural changes (the...

Hungarian debt level has steadily increased since 2001, with the debt-to-GDP ratio reaching about 84% at end-2011. This high level combined with significant volatility of macroeconomic variable influencing potential future debt paths – GDP growth, exchange rate and interest spreads – put...