Numerical Solution of Huge Sets of Nonlinear Differential Equations: The Coupling of Open Economic Systems

Kai Brandt ()
Additional contact information
Kai Brandt: II. Institute of Theoretical Physics, University of Stuttgart

Computing in Economics and Finance 1996 from Society for Computational Economics

Abstract: Maastricht is only one catchword which emphasizes the fast growing importance of interactions between economic areas. On the other hand synergetics is one catchword which represents the progress in the exploration of complex, nonlinear, dynamic systems. Here, we make use of one evolution in order to investigate the other. This is one of the first attempts to model spatial economic proceedings by a nonlinear, dynamic, descriptive, and behavioural decision model. It also illustrates the importance of time and flexibility in economic behaviour. Special emphasis is given to a modular construction and a big variability of the model frame. The master equation approach by WEIDLICH and HAAG and an extension of the frequency dependence which has been defined by LEIBENSTEIN and A RTHUR are used as tools. Eventually, model consistent exchange streams between the single regions are formulated for a multiregional application. Thereby we can investigate in particular the meaning of frequency dependence in a spatial context. We will find a variety of new manifestations of this dependence which do not occur in connection with single economies.

References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.unige.ch/ce/ce96/ps/brandt.eps (application/postscript)
Our link check indicates that this URL is bad, the error code is: 404 Not Found

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sce:scecf6:_010

Access Statistics for this paper

More papers in Computing in Economics and Finance 1996 from Society for Computational Economics Department of Econometrics, University of Geneva, 102 Bd Carl-Vogt, 1211 Geneva 4, Switzerland. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().