Inevitability of Collusion in a Coopetitive Bounded Rational Cournot Model with Increasing Demand

Michael Campbell ()

Journal of Mathematical Economics and Finance, 2016, vol. 2, issue 1, 7-20

Abstract: A coopetitive model using the structure formulated by D Carf is constructed for a bounded rational Cournot model with increasing demand as with Veblen goods and any number of agents This model has a cooperative strategy parameter that interpolates be tween perfect competition and collusion For this model H Dixon s result of the inevitability of collusion is demonstrated using a cluster expansion idea from percolation models in sta tistical mechanics to prove positivity of correlation functions Specifically it is shown that every agent s expected payoff increases as the cooperatively chosen interpolation parameter approaches the value that gives collusion Therefore agents will cooperatively agree to collude When the behavior is perfectly rational zero temperature collusion does not result in an in crease in payoffs since agents produce at maximum output in competition or collusion agents gain no benefit for putting in the extra effort to collude So we see that neoclassical analysis i e Nash equilibrium analysis can not explain collusion in this case However when we consider the full bounded rational model positive temperatures we recover Dixon s result to see that agents will cooperatively decide to collude to maximize payoffs We point out that the neoclassical model is the zero temperature limit of the general bounded rational model utilized here in accordance with the Bohr correspondence principle

Date: 2016
References: Add references at CitEc
Citations: View citations in EconPapers (4)

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:srs:jmef00:v:2:y:2016:i:1:p:7-20

Access Statistics for this article

Journal of Mathematical Economics and Finance is currently edited by David CARFI

More articles in Journal of Mathematical Economics and Finance from ASERS Publishing
Bibliographic data for series maintained by Claudiu Popirlan ( this e-mail address is bad, please contact ).