Cournot Competition and Endogenous Firm Size

Jason Barr () and Francesco Saraceno ()

Working Papers Rutgers University, Newark from Department of Economics, Rutgers University, Newark

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, and 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.

Keywords: Firm size; adjustment dynamics; artificial neural networks; Cournot games (search for similar items in EconPapers)
JEL-codes: C63 D21 D83 L13 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-com, nep-gth and nep-ind
Date: 2005-01
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Related works:
Working Paper: Cournot Competition and Endogenous Firm Size (2004)
Journal Article: Cournot competition and endogenous firm size (2008)
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Persistent link: http://EconPapers.repec.org/RePEc:run:wpaper:2005-001

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