Lineare und nichtlineare dynamische Systeme werden in der aktuellen wirtschaftswissenschaftlichen Forschung immer wichtiger und ermöglichen ein tieferes Verständnis sowohl für geordnete wie auch chaotische Abläufe der Konjunktur und der Finanzmärkte. Mathematische Methoden, die in den...

This book presents a macroeconomic dynamic model à la Solow-Swan, including the market for labor, in a discrete time structure. The model is expanded to include expenditure on RD and public expenditure on infrastructure. For each of the three models the results are shown in time series figures,...

Statistical analysis of stock markets and foreign exchange markets has demonstrated the intermittent nature of economic time series. A nonlinear model of business cycles is able to simulate intermittency arising from order-chaos and chaos-chaos transitions. This monograph introduces new concepts...

Provides an analysis of dynamic modelling in econometrics by bridging the unit-root gap between structural and time series approaches and focusing on representation theorems of (co)integrated processes.The book also presents an analytical setting to guide the formulation and solution in closed...

In this chapter, the Logistic Map is taken as the example demonstrating the generic stability properties of fixed points and limit cycles, in dependence of the strength of nonlinearity. To identify attracting periodic orbits, we use the Schwarz derivative. The chapter ends with an application of...