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Rosenberg's "Learning by Using" and Technology Diffusion

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  • Toshihiko Mukoyama

    ()
    (Department of Economics, Concordia University)

Abstract

This paper formulates Rosenberg's (1982) "learning by using" as a stochastic process. The producer of machines learns from the experience of users. Due to this learning, the quality of machines improves over time. It turns out that the process of this improvement approximately takes an exponential form. This improvement process, combined with the growth of demand due to the improvement, can produce an S-shape diffusion curve of machines. Strong demand and advancement of communication technology increase the diffusion speed. The distributional property of the stochastic process and the implications for inequality across machine users are also explored.

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File URL: http://economics.concordia.ca/documents/working_papers/05003tm.pdf
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Bibliographic Info

Paper provided by Concordia University, Department of Economics in its series Working Papers with number 05003.

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Length: 38 pages
Date of creation: Aug 2004
Date of revision:
Handle: RePEc:crd:wpaper:05003

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Keywords: Learning by Using; Technology Diffusion;

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References

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  1. Bronwyn H. Hall & Beethika Khan, 2003. "Adoption of New Technology," NBER Working Papers 9730, National Bureau of Economic Research, Inc.
  2. Paul S. Adler & Kim B. Clark, 1991. "Behind the Learning Curve: A Sketch of the Learning Process," Management Science, INFORMS, vol. 37(3), pages 267-281, March.
  3. Alwyn Young, 1991. "Learning by Doing and the Dynamic Effects of International Trade," NBER Working Papers 3577, National Bureau of Economic Research, Inc.
  4. Young, Alwyn, 1991. "Learning by Doing and the Dynamic Effects of International Trade," The Quarterly Journal of Economics, MIT Press, vol. 106(2), pages 369-405, May.
  5. Parente Stephen L., 1994. "Technology Adoption, Learning-by-Doing, and Economic Growth," Journal of Economic Theory, Elsevier, vol. 63(2), pages 346-369, August.
  6. Bahk, Byong-Hong & Gort, Michael, 1993. "Decomposing Learning by Doing in New Plants," Journal of Political Economy, University of Chicago Press, vol. 101(4), pages 561-83, August.
  7. Geroski, P. A., 2000. "Models of technology diffusion," Research Policy, Elsevier, vol. 29(4-5), pages 603-625, April.
  8. Young, Alwyn, 1993. "Invention and Bounded Learning by Doing," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 443-72, June.
  9. Jovanovic, Boyan & Lach, Saul, 1989. "Entry, Exit, and Diffusion with Learning by Doing," American Economic Review, American Economic Association, vol. 79(4), pages 690-99, September.
  10. Kremer, Michael, 1993. "The O-Ring Theory of Economic Development," The Quarterly Journal of Economics, MIT Press, vol. 108(3), pages 551-75, August.
  11. Toshihiko Mukoyama, 2004. "Diffusion and Innovation of New Technologies under Skill Heterogeneity," Journal of Economic Growth, Springer, vol. 9(4), pages 451-479, December.
  12. Griliches, Zvi & Regev, Haim, 1995. "Firm productivity in Israeli industry 1979-1988," Journal of Econometrics, Elsevier, vol. 65(1), pages 175-203, January.
  13. Stephen L. Parente, 2000. "Learning-by-Using and the Switch to Better Machines," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 3(4), pages 675-703, October.
  14. Beckmann, Martin J., 1977. "Management production functions and the theory of the firm," Journal of Economic Theory, Elsevier, vol. 14(1), pages 1-18, February.
  15. Chari, V V & Hopenhayn, Hugo, 1991. "Vintage Human Capital, Growth, and the Diffusion of New Technology," Journal of Political Economy, University of Chicago Press, vol. 99(6), pages 1142-65, December.
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Cited by:
  1. Jeremy Greenwood & Nezih Guner, 2005. "Social Change: The Sexual Revolution," Economie d'Avant Garde Research Reports 9, Economie d'Avant Garde, revised Apr 2009.
  2. Francesco Bogliacino & Giorgio Rampa, 2009. "Quality Risk Aversion, Conjectures, and New Product Diffusion," Quaderni di Dipartimento 092, University of Pavia, Department of Economics and Quantitative Methods.
  3. Greenwood, Jeremy & Guner, Nezih, 2008. "Social Change," IZA Discussion Papers 3485, Institute for the Study of Labor (IZA).
  4. Andreoni, Antonio, 2014. "Structural learning: Embedding discoveries and the dynamics of production," Structural Change and Economic Dynamics, Elsevier, vol. 29(C), pages 58-74.
  5. Marc Dijk & René Kemp & Pieter Valkering, 2013. "Incorporating social context and co-evolution in an innovation diffusion model—with an application to cleaner vehicles," Journal of Evolutionary Economics, Springer, vol. 23(2), pages 295-329, April.

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