NONLINEAR STOCHASTIC DYNAMICS FOR SUPPLY COUNTERFEITING IN MONOPOLISTIC MARKETS
Marco Corazza and
Marco Corazza
Additional contact information
Marco Corazza: University "Ca' Foscari" of Venice
Marco Corazza: University "Ca' Foscari" of Venice
Authors registered in the RePEc Author Service: Marco Corazza ()
No 176, Computing in Economics and Finance 2000 from Society for Computational Economics
Abstract:
Counterfeiting is a well known world-wide phenomenon afflicting several real economies. Notwithstanding the importance of this topic, there are not many works about it in the literatute; moreover, these contributions mainly deal with counterfeiting employing a model developed in a static time frame. In this paper we propose, by means of a system of first order nonlinear and stochastic difference equations, a discrete time dynamical model for a monopolistic market characterized by the presence of a supply counterfeiter. More precisely, we determine some theoretical results peculiar to such a dynamical system and relevant to its solution and its asymptotic behaviour. Nevertheless, because of the presence of nonlinearities and stochastics, these results are not able to fully characterize the proposed dynamical system; so, in order to fill this deficiency, we also carry out a numerical investigation with a Swarm-based code.
Date: 2000-07-05
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
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:scecf0:176
Access Statistics for this paper
More papers in Computing in Economics and Finance 2000 from Society for Computational Economics CEF 2000, Departament d'Economia i Empresa, Universitat Pompeu Fabra, Ramon Trias Fargas, 25,27, 08005, Barcelona, Spain. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F. Baum ().