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Cournot competition and endogenous firm size

Author

Listed:
  • Francesco Saraceno

    (OFCE - Observatoire français des conjonctures économiques (Sciences Po) - Sciences Po - Sciences Po)

  • Jason Barr

Abstract

The paper studies the dynamics of firm size in a repeated Cournot game with unknown demand function. We model the firm as a type of artificial neural network. Each period it must learn to map environmental signals to both a demand parameter and its rival's output choice. However, this learning game is in the background, as we focus on the endogenous adjustment of network size. We investigate the long-run evolution of firm/network size as a function of profits, rival's size, and the type of adjustment rules used.

Suggested Citation

  • Francesco Saraceno & Jason Barr, 2008. "Cournot competition and endogenous firm size," Sciences Po Economics Publications (main) hal-03417080, HAL.
    • Handle: RePEc:hal:spmain:hal-03417080
    DOI: 10.1007/s00191-008-0111-y
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    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
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets

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