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History-Friendly Models: an Overview of the Case of the Computer Industry

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Author Info

  • Franco Malerba

    ()

  • Richard Nelson
  • Luigi Orsenigo

    ()

  • Sidney G. Winter

Abstract

This paper presents and discusses the methodological rationale, the basic structure and some first results of a new approach to the analysis of processes of industry evolution: "history-friendly" models, concerning the history of the computer industry. The specific purpose of this paper is to evaluate in more general terms the potential and limits of this approach, rather than the formal structure or results of a particular case. The paper illustrates first the philosophy beneath the use of "history-friendly" models. Then, after a brief summary of the main stylized facts about the evolution of the computer industry and of the main theoretical issues raised up by our investigation, we go on presenting the structure of the model. We then discuss the main results and some preliminary exercises involving different hypotheses on agents' behavior (strategies of product diversification) and policy issues.

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File URL: http://jasss.soc.surrey.ac.uk/4/3/6.html
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Bibliographic Info

Article provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.

Volume (Year): 4 (2001)
Issue (Month): 3 ()
Pages: 6

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Handle: RePEc:jas:jasssj:2000-26-1

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Related research

Keywords: Computer Industry; History-Friendly Models; Schumpeterian Economics;

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Cited by:
  1. Avnimelech, Gil & Kenney, Martin & Teubal, Morris, 2004. "Building Venture Capital Industries: Understanding the U.S. and Israeli Experiences," UCAIS Berkeley Roundtable on the International Economy, Working Paper Series qt9035c3vt, UCAIS Berkeley Roundtable on the International Economy, UC Berkeley.
  2. John Foster, 2011. "Evolutionary macroeconomics: a research agenda," Journal of Evolutionary Economics, Springer, vol. 21(1), pages 5-28, February.
  3. Friedrich, B. Cornelia, 2004. "Competition and the Evolution of Market Structure in the E-conomy : A Simulation Analysis," Dresden Discussion Paper Series in Economics 02/04, Dresden University of Technology, Faculty of Business and Economics, Department of Economics.
  4. Foster, John & Metcalfe, J. Stan, 2012. "Economic emergence: An evolutionary economic perspective," Journal of Economic Behavior & Organization, Elsevier, vol. 82(2), pages 420-432.
  5. Edoardo Mollona, 2008. "Computer simulation in social sciences," Journal of Management and Governance, Springer, vol. 12(2), pages 205-211, May.
  6. Garavaglia, Christian, 2010. "Modelling industrial dynamics with "History-friendly" simulations," Structural Change and Economic Dynamics, Elsevier, vol. 21(4), pages 258-275, November.
  7. Kemp, R. & van den Bergh, J., 2006. "Economics and Transitions: Lessons from Economic Sub-disciplines," MERIT Working Papers 038, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).

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