Structural change in the presence of network externalities: a co-evolutionary model of technological successions
The paper examines the conditions under which technological successions can occur in the presence of network externalities. A two-stage, multi-agent simulation model is presented in which product designs co-evolve with consumer preferences. It provides a rich framework in which to study the complex phenomenon of quality. Following an initial period, in which old technology firms develop their designs and externalities accrue, a technological shock occurs. New technology firms and new consumer classes enter the market. Data from the simulation model is analysed by identifying a robust econometric model of the probability of succession, given the immediate state of the post-shock market. 4 factors affecting the probability of a succession are identified. First, succession can occur if gains in direct utility from higher quality new technology goods outweigh the network utility of old technology goods. Second, sailing ship effects are possible. Old firms can innovate in order to see off the new entrants. Hence, a better initial (new technology) design does not guarantee succession. Third, a trade-off exists between quality and price. A succession will not occur if cost (price) differentials favour the old technology. Consequently, increasing returns in production enjoyed by established firms are an important barrier to successful entry. The fourth factor is time: the relative length of time old firms have to develop their products, and that which new firms have to develop their products.
|Date of creation:||2004|
|Date of revision:|
|Contact details of provider:|| Postal: P.O. Box 616, 6200 MD Maastricht|
Phone: (31) (0)43 3883875
Fax: (31) (0)43 3216518
Web page: http://www.maastrichtuniversity.nl/
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Katz, Michael L & Shapiro, Carl, 1986. "Technology Adoption in the Presence of Network Externalities," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 822-41, August.
- Joseph Farrell & Garth Saloner, 1985.
"Standardization, Compatibility, and Innovation,"
RAND Journal of Economics,
The RAND Corporation, vol. 16(1), pages 70-83, Spring.
- Simon Hall & Mark Walsh & Anthony Yates, 1997. "How do UK companies set prices?," Bank of England working papers 67, Bank of England.
- Sin, Chor-Yiu & White, Halbert, 1996. "Information criteria for selecting possibly misspecified parametric models," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 207-225.
- Malerba, Franco, et al, 1999. "'History-Friendly' Models of Industry Evolution: The Computer Industry," Industrial and Corporate Change, Oxford University Press, vol. 8(1), pages 3-40, March.
- Sensier, Marianne & Artis, Michael & Osborn, Denise R. & Birchenhall, Chris, 2004.
"Domestic and international influences on business cycle regimes in Europe,"
International Journal of Forecasting,
Elsevier, vol. 20(2), pages 343-357.
- M Sensier & M Artis & C R Birchenhall & D R Osborn, 2002. "Domestic and International Influences on Business Cycle Regimes in Europe," Centre for Growth and Business Cycle Research Discussion Paper Series 11, Economics, The Univeristy of Manchester.
- M Sensier & M Artis & C R Birchenhall & D R Osborn, 2002. "Domestic and International Influences on Business Cycle Regimes in Europe," The School of Economics Discussion Paper Series 0202, Economics, The University of Manchester.
- Blinder, Alan S, 1991.
"Why Are Prices Sticky? Preliminary Results from an Interview Study,"
American Economic Review,
American Economic Association, vol. 81(2), pages 89-96, May.
- Alan S. Blinder, 1991. "Why are Prices Sticky? Preliminary Results from an Interview Study," NBER Working Papers 3646, National Bureau of Economic Research, Inc.
- Shy, Oz, 1996. "Technology revolutions in the presence of network externalities," International Journal of Industrial Organization, Elsevier, vol. 14(6), pages 785-800, October.
- P. Windrum, 2007.
"Neo-Schumpeterian Simulation Models,"
in: Elgar Companion to Neo-Schumpeterian Economics, chapter 26
Edward Elgar Publishing.
- Birchenhall, Chris R, et al, 1999. "Predicting U.S. Business-Cycle Regimes," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(3), pages 313-23, July.
- Chris Birchenhall & Marianne Sensier, 2000.
"Predicting UK Business Cycle Regimes,"
Econometric Society World Congress 2000 Contributed Papers
0953, Econometric Society.
- Chris R. Birchenhall & Marianne Sensier & Denise R. Osborn, 2000. "Predicting Uk Business Cycle Regimes," Computing in Economics and Finance 2000 134, Society for Computational Economics.
- C R Birchenhall & D R Osborn & M Sensier, 2000. "Predicting UK Business Cycle Regimes," Centre for Growth and Business Cycle Research Discussion Paper Series 02, Economics, The Univeristy of Manchester.
- David, Paul A, 1985. "Clio and the Economics of QWERTY," American Economic Review, American Economic Association, vol. 75(2), pages 332-37, May.
- Liebowitz, S J & Margolis, Stephen E, 1990. "The Fable of the Keys," Journal of Law and Economics, University of Chicago Press, vol. 33(1), pages 1-25, April.
When requesting a correction, please mention this item's handle: RePEc:unm:umamer:2004012. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Leonne Portz)
If references are entirely missing, you can add them using this form.