even more pronounced at longer forecasting horizons (the forecast accuracy gain as measured by the root mean squared … spatial dependence structure into regional forecasting models, especially, when long-term forecasts are made. …

forecasting macroeconomic key variables such as GDP. However, the DFM has some weaknesses. For nowcasting, the dynamic factor … on euro-area data show that the now- and forecasting performance of our new model is superior to that of the subset …

This paper considers the problem of forecasting a collection of short time series using cross sectional information in …

forecasting macroeconomic key variables such as GDP. However, the DFM has some weaknesses. For nowcasting, the dynamic factor … on euro-area data show that the now- and forecasting performance of our new model is superior to that of the subset …

content and its potential use for fiscal forecasting and monitoring purposes. The models are estimated with annual and …

. Nevertheless, their forecasting properties are still barely explored. We fill this gap by comparing the quality of real … priors from a DSGE model. We show that the analyzed DSGE model is relatively successful in forecasting the US economy in the … accurate short-term forecasts for interest rates. Conditional on experts' now casts, however, the forecasting power of the DSGE …

the most relevant recent developments in this field of economic forecasting. To begin with, we analyze the problem of … resulting leading indicator based forecasts, and review the recent literature on the forecasting performance of leading …