In this paper, we make multi-step forecasts of the annual growth rates of the real GDP for each of the 16 German Länder (states) simultaneously. Beside the usual panel data models, such as pooled and fixed-effects models, we apply panel models that explicitly account for spatial dependence...

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...

The spring forecast for Swiss health expenditure covers the years 2008 to 2010 (official data range to 2007). For the year 2008, the forecast assumes a higher-than-average growth in health expenditure. While a still solid growth is expected for the year 2009, a cooling down as a consequence of...