Not all markets are always characterized by immediate market clearing, for example due to a delayed adjustment of quantities and prices. Macroeconometric disequilbrium models proved to be a valuable tool in assessing the relevance of such phenomena on goods and labour markets. Asymmetric...

Efficient routines for multidimensional numerical integration are provided by quasi-Monte Carlo methods. These methods are based on evaluating the integrand at a set of representative points of the integration area. A set may be called representative if it shows a low discrepancy. However, in...

In this paper a macroeconometric disequilibrium model for West Germany is presented and its quality for policy simulations and forecasting are analyzed using stochastic in-sample simulations. The model is built on a dynamic disequilibrium model of firms' behaviour. Due to delayed adjustment of...

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...

Different stochastic simulation methods are used in order to check the robustness of the outcome of policy simulations with a macroeconometric model. A macroeconometric disequilibriummodel of the West German economy is used to analyze a reform proposal for the tax system. The model was estimated...