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Conjectural Variations in Aggregative Games: An Evolutionary Perspective

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  • Alex Possajennikov

Abstract

Suppose that in aggregative games, in which a player's payoff depends only on this player's strategy and on an aggregate of all players' strategies, the players are endowed with constant conjectures about the reaction of the aggregate to marginal changes in the player's strategy. The players play the equilibrium determined by their conjectures and equilibrium strategies determine the players' payoffs, which can be different for players with different conjectures. It is shown that with random matching in an infinite population, only consistent conjectures can be evolutionarily stable, where a conjecture is consistent if it is equal to the marginal change in the aggregate at equilibrium, determined by the players' actual best responses. In the finite population case in which relative payoffs matter, only zero conjectures representing aggregate-taking behavior can be evolutionarily stable. The results are illustrated with the examples of a linear-quadratic game (that includes a Cournot oligopoly) and a rent-seeking game.

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  • Alex Possajennikov, 2012. "Conjectural Variations in Aggregative Games: An Evolutionary Perspective," Discussion Papers 12/04, University of Nottingham, School of Economics.
  • Handle: RePEc:not:notecp:12/04
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    Cited by:

    1. Joseph Farrell & Jonathan B. Baker, 2021. "Natural Oligopoly Responses, Repeated Games, and Coordinated Effects in Merger Analysis: A Perspective and Research Agenda," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 58(1), pages 103-141, February.
    2. Wolfgang Buchholz & Todd Sandler, 2017. "Successful Leadership in Global Public Good Provision: Incorporating Behavioural Approaches," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 67(3), pages 591-607, July.
    3. Alex Possajennikov, 2016. "Evolution of Consistent Conjectures in Semi-Aggregative Representation of Games, with Applications to Public Good Games and Contests," Discussion Papers 2016-08, The Centre for Decision Research and Experimental Economics, School of Economics, University of Nottingham.
    4. Aloys L. Prinz, 2019. "Indirect Evolution and Aggregate-Taking Behavior in a Football League: Utility Maximization, Profit Maximization, and Success," Games, MDPI, vol. 10(2), pages 1-12, May.

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