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The scale of production in technological revolutions

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Author Info
Matthew F. Mitchell

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Abstract

Many manufacturing industries, including the computer industry, have seen large increases in productivity growth rates and have experienced a reduction in average establishment size and a decrease in the variance of the sizes of plants. A vintage capital model is introduced where learning increases productivity on any given technology and firms choose when to adopt a new vintage. In the model, a rise in the rate of technological change leads to a decrease in both the mean and variance of the size distribution.

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Publisher Info
Paper provided by Federal Reserve Bank of Minneapolis in its series Staff Report with number 269.

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Date of creation: 2000
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Handle: RePEc:fip:fedmsr:269

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Related research
Keywords: Productivity;

References listed on IDEAS
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  1. Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
  2. Eric J. Bartelsman & Wayne Gray, 1996. "The NBER Manufacturing Productivity Database," NBER Technical Working Papers 0205, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  3. Zoltan Acs & David Audretsch, 1990. "Innovation and Small Firms," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262011131, January.
  4. 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. [Downloadable!] (restricted)
  5. Robert Wilson, 1975. "Informational Economies of Scale," Bell Journal of Economics, The RAND Corporation, vol. 6(1), pages 184-195, Spring. [Downloadable!] (restricted)
  6. Baily, Martin Neil & Bartelsman, Eric J & Haltiwanger, John, 1996. " Downsizing and Productivity Growth: Myth or Reality?," Small Business Economics, Springer, vol. 8(4), pages 259-78, August.
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  7. Hopenhayn, Hugo A, 1992. "Entry, Exit, and Firm Dynamics in Long Run Equilibrium," Econometrica, Econometric Society, vol. 60(5), pages 1127-50, September. [Downloadable!] (restricted)
  8. Jovanovic, B. & Nyarko, Y., 1996. "Learning by Doing and the Choice of Technology," Working Papers 96-25, C.V. Starr Center for Applied Economics, New York University. [Downloadable!]
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  9. Philip Auerswald & Stuart Kauffman & Jose Lobo & Karl Shell, 1998. "The Production Recipes Approach to Modeling Technological Innovation: An Application to Learning By Doing," Working Papers 98-11-100, Santa Fe Institute.
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  10. Mark E. Doms & Timothy Dunne, 1998. "Capital Adjustment Patterns in Manufacturing Plants," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(2), pages 409-429, April. [Downloadable!] (restricted)
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  11. Greenwood, Jeremy & Hercowitz, Zvi & Krusell, Per, 1997. "Long-Run Implications of Investment-Specific Technological Change," American Economic Review, American Economic Association, vol. 87(3), pages 342-62, June. [Downloadable!] (restricted)
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  12. Prescott, Edward C, 1972. "The Multi-Period Control Problem Under Uncertainty," Econometrica, Econometric Society, vol. 40(6), pages 1043-58, November. [Downloadable!] (restricted)
  13. Greenwood, J. & Jovanovic, B., 1999. "The IT Revolution and the Stock Market," RCER Working Papers 460, University of Rochester - Center for Economic Research (RCER). [Downloadable!]
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Cited by:
(explanations, 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.)

  1. Matthew Mitchell, 2002. "Technological Change and the Scale of Production," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 477-488, April. [Downloadable!] (restricted)
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This page was last updated on 2009-10-29.


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