This paper introduces the term structure of interest rates into a medium-scale DSGE model. This extension results in a multi-period forecasting model that is estimated under both adaptive learning and rational expectations. Term structure information enables us to characterize agents'...

Thanks to the increasing availability of granular, yet high-dimensional, firm level data, machine learning (ML) algorithms have been successfully applied to address multiple research questions related to firm dynamics. Especially supervised learning (SL), the branch of ML dealing with the...

Some previous analyses have suggested that the smoothing of tax rates over time would be a desirable guide for public debt management. One implication of this viewpoint is that future changes in tax rates would be unpredictable based on current information. This proposition is tested by...

1. Introduction / Patrick van der Duin -- 2. Developing scenarios / Jan Nekkers -- 3. Trend analysis / Tessa Cramer, Patrick van der Duin and Christianne Heselmans -- 4. The Delphi method / Vincent Marchau and Erik van de Linde -- 5. Technological forecasting / Scott W. Cunningham and Jan H....

Some previous analyses have suggested that the smoothing of tax rates over time would be a desirable guide for public debt management. One implication of this viewpoint is that future changes in tax rates would be unpredictable based on current information. This proposition is tested by...