In econometric modelling the choice of relevant variables is of crucial importance for the Interpretation of the results. In many cases it is based on some a priori knowledge from economic theory and a rather heuristic procedure for determining other influential variables sometimes based on an...

Over the last decade credit rationing has been regarded increasingly as the outcome of asymmetric Information. Profit maximization of the banks might lead to interest rates lower than the market equilibrium rate. Administering loans at a higher interest rate to the rationed customers will...

Asymmetric information between lender and borrower is made responsible for financing constraints at the firm level which may influence real activity. In this paper a standard model of credit rationing due to adverse selection and adverse incentive effects is used to derive hypotheses on causes...

Mengenrationierungsmodelle erwiesen sich in den vergangenen Jahren als geeignete Instrumente, um Entwicklungen auf Güter- und Arbeitsmärkten zu beschreiben. Wesentliches Ingrediens dieser Modelle ist die Abkehr von der Annahme ständig preisgeräumter Märkte. Als Ursache für die Rationierung...

Threshold Accepting (TA) is a powerful optimization heuristic from the class of stochastic local search algorithms. It has been applied successfully to different optimization problems in statistics and econometrics, including the uniform design problem. Using the latter application as example,...

Agent based models of financial markets follow different approaches and might be categorized according to major building blocks used. Such building blocks include agent design, agent evolution, and the price finding mechanism. The performance of agent based models in matching key features of...

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...