Several approaches for subset recovery and improved forecasting accuracy have been proposed and studied. One way is to apply a regularization strategy and solve the model selection task as a continuous optimization problem. One of the most popular approaches in this research field is given by...

Gegenstand dieses Beitrags ist eine quantitativ orientierte Diskussion einiger Wirkungen einer Umstrukturierung des Steuersystems anhand der neuesten und wesentlich erweiterten Version des Konstanzer aggregierten Ungleichgewichtsmodells für die westdeutsche Volkswirtschaft für den Zeitraum von...

This paper proposes a new method for empirically validate simulation models that generate artificial time series data comparable with real-world data. The approach is based on comparing structures of vector autoregression models which are estimated from both artificial and real-world data by...