A Single-Sector Stochastic Model of Economics
Oleg Malafeyev and
Sergei Nemnyugin ()
Additional contact information
Sergei Nemnyugin: Department of Computational Physics, Sankt- Petersburg State University
Computing in Economics and Finance 1996 from Society for Computational Economics
Abstract:
In this paper we shall construct two classes of single-sector stochastic models of economics with perfect competition. The first one is created by inclusion of the stochastic evolution of exogenous variables into the well known deterministic model. The perfect competition requires maximization of the income at any moment. The resulting linear stochastic differential equation may be solved by standard methods. The second approach requires optimization of the stochastic income functional when it is supposed that exogenous variables follows stochastic differential equation. This problem may be solved by dynamic programming method but application of the computational techniques developed in the computational physics may be of interest too.
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.unige.ch/ce/ce96/ps/nemnyugi.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:_041
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 ().