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...

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...

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...

This paper attempts to evaluate economic effects of migration into Germany on the basis of a macroeconometric disequilibrium model. Germany has the advantage of having experience with migratory movements of guestworkers. There was a tremendous infiow of those workers in the sixties as well as an...

This paper attempts to evaluate the impact of current and future immigration flows on major macroeconomic variables of the West German economy. The analysis is based on a macroeconometric disequilibrium model for the West German economy. This model is extended until 1995 and used for several...