The number of Covid-19 cases is increasing dramatically worldwide, with several countries experiencing a second and worse wave. Therefore, the availability of reliable forecasts for the number of cases and deaths in the coming days is of fundamental importance. We propose a simple statistical...

A long tradition in macro finance studies the joint dynamics of aggregate stock returns and dividends using vector autoregressions (VARs), imposing the cross-equation restrictions implied by the Campbell-Shiller (CS) identity to sharpen inference. We take a Bayesian perspective and develop...

This paper describes the semi-structural model DORY used by Norges Bank as a link between raw data, sector experts and the core policy model NEMO. While the primary objective in NEMO is to analyse business cycle fluctuations and monetary policy, DORY is used to identify the underlying trends in...

In dieser Studie wird eine Methodik beschrieben, mit der die Entwicklung von Beschäftigung und Fachkräftemangel fünf Jahre in die Zukunft fortgeschrieben werden kann. Dabei wird angenommen, dass sich die empirisch feststellbaren Trends der jüngeren Vergangenheit unverändert fortsetzen. Die...

We nowcast world trade using machine learning, distinguishing between tree-based methods (random forest, gradient boosting) and their regression-based counterparts (macroeconomic random forest, linear gradient boosting). While much less used in the literature, the latter are found to outperform...

Die Medien, die Öffentlichkeit und die Politik gehen seit vielen Jahren von einer demografischen Entwicklung aus, die für Deutschland nichts Gutes verheißt. Die Alterung der Bevölkerung bedroht die sozialen Sicherungssysteme, führt zu Fachkräftemangel und zu verdorrten Landschaften - so...

In this paper, we propose a novel approach for the ex-ante assessment of tax reforms accounting for second-round effects, i.e. the dynamic scoring of tax reforms. We combine a microsimulation model for selected European countries with VAR estimates of macro responses and, exploiting a unique...