Abstract
We present a multi-agent simulation model of a concentrated industry undergoing technological change. The simulation consists of heterogeneous firm agents, heterogeneous consumer agents, and one intermediating agent, the auctioneer, who aggregates market information to transmit to agents and to arrive at prices. Firms seek to maximize profit by estimating market demand, entering and exiting product markets, and optimizing output based on strategic conjectures of competing firm behavior. Consumers maximize utility by optimizing consumption within their budget sets. The auctioneer matches firm research with shifting consumer preferences, diffuses product knowledge among firms and consumers, and sets prices. We study . technological shifts; the diffusion of new technologies that directly compete with and replace existing ones. Sensitivity analysis is discussed in terms of the effects that model parameters have on product adoption, demand, output, spending, price, and profits. We validate our model against actual industry data on film cameras versus digital cameras.
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References
Solow, R.: A Contribution to the Theory of Economic Growth. Quarterly Journal of Economics 70, 65–94 (1956)
Mansfield, E.: Technical Change and the Rate of Imitation. Ecomometrica 29(4), 741–766 (1961)
Bass, F.A.: New Product Growth for Model Consumer Durables. Management Science 50(12), 1825–1832 (2004)
Stoneman, P.: The Economics of Technological Diffusion. Blackwell Publishers Ltd., Malden (2002)
Ireland, N., Stoneman, P.L.: Technological Diffusion, Expectations and Welfare. Oxford Economic Papers 38, 283–304 (2002)
Davies, S.: The Diffusion of Process Innovations. Cambridge University Press, Cambridge (1979)
Reinganum, J.: Market Structure and the Diffusion of New Technology. Bell Journal of Economics 12, 618–624 (1981)
Quirmbach, H.C.: The Diffusion of New Technology and the Market for an Innovation. RAND Journal of Economics 17, 33–47 (1986)
Fudenberg, D., Tirole, J.: Preemption and Rent Equalization in the Adoption of New Technology. Review of Economic Studies 52, 383–401 (1985)
Stoneman, P., Ireland, N.J.: The Role of Supply Factors in the Diffusion of New Process Technology. Economic Journal, Conference Papers 93, 65–77 (1983)
Silverberg, G., Dosi, G., Orsenigo, L.: Innovation, Diversity and Diffusion: A Self-Organization Model. Economic Journal 98(393), 1032–1054 (1988)
Nelson, R.R., Winter, S.G.: An Evolutionary Theory of Economic Change, Belknap, Cambridge, MA (1982)
Jonard, N., Yildizoglu, M.: Technological diversity in an evolutionary industry model with localized learning and network externalities. Structural Change and Economic Dynamics 9, 35–53 (1998)
Kwasnicki, W., Kwasnicka, H.: Market innovation, competition. Journal of Economic Behavior and Organization 19, 343–368 (1992)
Frenken, K.: History, state and prospects of evolutionary models of technical change: a review with special emphasis on complexity theory. In: Casti, J. (ed.) Complexity Focus, http://www.complexityscience.org
Dawid, H.: Agent-based models of innovation and technological change. In: Tesfatsion, L., Judd, K. (eds.) Handbook of Computational Economics, pp. 1237–1272. Elsevier, Amsterdam (2006)
Silverberg, G., Verspagen, B.: Evolutionary theorizing on economic growth. In: Kuusi, O. (ed.) Innovation Systems and Competitiveness. ETLA, Helsinki (1996)
Dawid, H., Reimann, M.: Evaluating Market Attractiveness: Individual Incentives vs. Industrial Profitability. Computational Economics 24, 321–355 (2005)
Windrum, P., Birchenhall, C.: Is product life cycle theory a special case? Dominant designs and the emergence of market niches through coevolutionary-learning. Structural Change and Economic Dynamics 9, 109–134 (1998)
Stanly, M.: Imaging Handbook (February 14, 2002)
J.P. Morgan – Precision Instruments Industry (June 25, 2002)
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McCarthy, J.G., Sabbadini, T., Sachs, S.R. (2008). Multi-agent Model of Technological Shifts. In: Antunes, L., Paolucci, M., Norling, E. (eds) Multi-Agent-Based Simulation VIII. MABS 2007. Lecture Notes in Computer Science(), vol 5003. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-70916-9_9
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DOI: https://doi.org/10.1007/978-3-540-70916-9_9
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