Competing R&D Strategies in an Evolutionary Industry Model

Murat Yildizoglu ()

Computational Economics, 2002, vol. 19, issue 1, pages 51-65

Abstract: This article aims to test the relevance of learning through genetic algorithms, in contrast to fixed R&D rules, in a simplified version of the evolutionary industry model of Nelson and Winter. These two R&D strategies are compared from the points of view of industry performance (welfare) and firms' relative performance (competitive edge): simulations results clearly show that learning is a source of technological and social efficiency as well as a means for market domination. Copyright 2002 by Kluwer Academic Publishers

Date: 2002
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Related works:
Working Paper: Competing R&D Strategies in an Evolutionary Industry Model (1999)
Working Paper: Competing R&D Strategies in an Evolutionary Industry Model (1999)
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Persistent link: http://EconPapers.repec.org/RePEc:kap:compec:v:19:y:2002:i:1:p:51-65

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