On Comparing between Two Nonlinear Cournot Duopoly Models

Complexity 2021:1-15 (2021)
  Copy   BIBTEX

Abstract

The comparison between two nonlinear duopoly models constructed based on symmetric utility function that is derived from Cobb–Douglas is investigated in this paper. The first model consists of two firms which update their outputs using gradient-based mechanism called bounded rationality. The second model contains a bounded rational firm that is competing with a firm whose outputs depend on a trade-off between market share maximization and profit maximization. For the two models, the fixed points are calculated and their conditions of stability are analyzed. The obtained results show that the second model is more stabilizing provided that the second firm adopts low weights of trade-offs. We show that the two models can be destabilized via flip bifurcation only. Furthermore, the noninvertibility of the two models that can give rise to several stable attractors is discussed.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,503

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

The Evolution Model of Intelligent Matter.Bazaluk Oleg - 2014 - Философия И Космология 13 (1):165-196.
On End‐Extensions of Models of ¬exp.Fernando Ferreira - 1996 - Mathematical Logic Quarterly 42 (1):1-18.
Agent-based modeling and the fallacies of individualism.Brian Epstein - 2011 - In Paul Humphreys & Cyrille Imbert (eds.), Models, Simulations, and Representations. Routledge. pp. 115444.
End extensions of models of linearly bounded arithmetic.Domenico Zambella - 1997 - Annals of Pure and Applied Logic 88 (2-3):263-277.
Models in Science (2nd edition).Roman Frigg & Stephan Hartmann - 2021 - The Stanford Encyclopedia of Philosophy.
Nonlinear Models of Electric Charge and Magnetic Moment.I. Bersons & R. Veilande - 2015 - Foundations of Physics 45 (11):1526-1532.
Representing with physical models.Ronald Giere - 2009 - In Paul Humphreys & Cyrille Imbert (eds.), Models, Simulations, and Representations. Routledge.

Analytics

Added to PP
2021-02-18

Downloads
3 (#1,704,746)

6 months
1 (#1,479,630)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references