Cournot competition and endogenous firm size

Francesco Saraceno (francesco.saraceno@ofce.sciences-po.fr) and Jason Barr
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Francesco Saraceno: OFCE - Observatoire français des conjonctures économiques (Sciences Po) - Sciences Po - Sciences Po

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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.

Keywords: Firm size; Adjustment dynamics; Artificial neural networks; Cournot games (search for similar items in EconPapers)
Date: 2008-10
Note: View the original document on HAL open archive server: https://hal-sciencespo.archives-ouvertes.fr/hal-03417080
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Published in Journal of Evolutionary Economics, 2008, 18 (5), pp.615 - 638. ⟨10.1007/s00191-008-0111-y⟩

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Related works:
Journal Article: Cournot competition and endogenous firm size (2008)
Working Paper: Cournot competition and endogenous firm size (2008)
Working Paper: Cournot Competition and Endogenous Firm Size (2005)
Working Paper: Cournot Competition and Endogenous Firm Size (2005)
Working Paper: Cournot Competition and Endogenous Firm Size (2004)
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Persistent link: https://EconPapers.repec.org/RePEc:hal:spmain:hal-03417080

DOI: 10.1007/s00191-008-0111-y

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