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

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  • Michael CAMPBELL

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

Suggested Citation

  • Michael CAMPBELL, 2016. "Inevitability of Collusion in a Coopetitive Bounded Rational Cournot Model with Increasing Demand," Journal of Mathematical Economics and Finance, ASERS Publishing, vol. 2(1), pages 7-20.
  • Handle: RePEc:srs:jmef00:v:2:y:2016:i:1:p:7-20
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    Cited by:

    1. Jóna, György, 2020. "Versengő együttműködés versus összejátszás, avagy hálózati szintű csalás? [Coopetition versus collusion, or fraud at network level?]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(2), pages 164-180.
    2. Campbell, Michael, 2020. "Speculative and hedging interaction model in oil and U.S. dollar markets—Long-term investor dynamics and phases," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    3. Campbell, Michael J. & Smith, Vernon L., 2021. "An elementary humanomics approach to boundedly rational quadratic models," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
    4. Campbell, Michael J., 2022. "Heavy-tailed distributions of volume and price-change resulting from strategy coordination and decision noise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).

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