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Cournot competition and endogenous firm size

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  • Francesco Saraceno
  • Jason Barr

Abstract

We study the dynamics of firm size in a repeated Cournot game with unkown demand function.We model the firm as a type of artificial neural network. Each period it must learn to map environmental signals to both demand parameters and its rival’s output choice. But this learning game is in the background, as we focus on the endogenous adjustment of network size. We investigate the long-run behavior of firm/network size as a function of profits, rival’s size, and the type of adjustment rules used.
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Suggested Citation

  • Francesco Saraceno & Jason Barr, 2008. "Cournot competition and endogenous firm size," Journal of Evolutionary Economics, Springer, vol. 18(5), pages 615-638, October.
    • Handle: RePEc:spr:joevec:v:18:y:2008:i:5:p:615-638
    DOI: 10.1007/s00191-008-0111-y
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    More about this item

    Keywords

    Firm size; Adjustment dynamics; Artificial neural networks; Cournot games; C63; D21; D83; L13;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets

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