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The scale of production in technological revolutions

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  • Matthew F. Mitchell

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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Bibliographic 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

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  1. Greenwood, J. & Hercowitz, Z. & Krusell, P., 1995. "Long-Run Implications of Investment-Specific Technological Change," UWO Department of Economics Working Papers 9510, University of Western Ontario, Department of Economics.
  2. Greenwood, Jeremy & Yorukoglu, Mehmet, 1997. "1974," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 46(1), pages 49-95, June.
    • Greenwood, J. & Yorukoglu, M., 1996. "1974," RCER Working Papers 429, University of Rochester - Center for Economic Research (RCER).
  3. Hopenhayn, Hugo A, 1992. "Entry, Exit, and Firm Dynamics in Long Run Equilibrium," Econometrica, Econometric Society, vol. 60(5), pages 1127-50, September.
  4. Martin Neil Baily & Eric J. Bartelsman & John Haltiwanger, 1994. "Downsizing and Productivity Growth: Myth or Reality?," NBER Working Papers 4741, National Bureau of Economic Research, Inc.
  5. Mark Doms & Timothy Dunne, 1994. "Capital Adjustment Patterns in Manufacturing Plants," Working Papers 94-11, Center for Economic Studies, U.S. Census Bureau.
  6. Argote, L. & Epple, D., 1990. "Learning Curves In Manufacturing," GSIA Working Papers 89-90-02, Carnegie Mellon University, Tepper School of Business.
  7. 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.
  8. Eric J. Bartelsman & Wayne Gray, 1996. "The NBER Manufacturing Productivity Database," NBER Technical Working Papers 0205, National Bureau of Economic Research, Inc.
  9. Jeremy Greenwood & Boyan Jovanovic, 1999. "The IT Revolution and the Stock Market," NBER Working Papers 6931, National Bureau of Economic Research, Inc.
  10. Prescott, Edward C, 1972. "The Multi-Period Control Problem Under Uncertainty," Econometrica, Econometric Society, vol. 40(6), pages 1043-58, November.
  11. Auerswald, Philip & Kauffman, Stuart & Lobo, Jose & Shell, Karl, 2000. "The production recipes approach to modeling technological innovation: An application to learning by doing," Journal of Economic Dynamics and Control, Elsevier, vol. 24(3), pages 389-450, March.
  12. Zoltan Acs & David Audretsch, 1990. "Innovation and Small Firms," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262011131, January.
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Cited by:
  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.
  2. Roberto M Samaniego, 2006. "A Theory of Entry and Exit with Embodied Rate of Technical Change," 2006 Meeting Papers 765, Society for Economic Dynamics.

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