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Technology Diffusion and Aggregate Dynamics

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Author Info

  • David Andolfatto

    (Department of Economics, University of Waterloo and CREFE)

  • Glenn MacDonald

    (Department of Economics, University of Rochester)

Abstract

This paper develops and analyzes a macroeconomic model in which aggregate growth and fluctuations arise from the discovery and diffusion of new technologies; there are no exogenous aggregate shocks. The temporal behavior of aggregates is driven by individuals' efforts to innovate and/or make use of others' innovations. Parameters describing preferences, production possibilities, and learning technologies are estimated using post-war U.S. data. The model delivers predicted aggregates that grow and fluctuate much like the data. They key features of post-war growth are explained by new technologies that differ in terms of the magnitude of their improvement over existing methods and the difficulty of acquiring them. The model implies a negative trend in technological dispersion, and that the generally lower growth witnessed during the last two decades is the result of new technologies offering comparatively minor or less broadly applicable improvements. Data on the growing and fluctuating share of engineering Ph.D.s support the model's technological interpretation of the growth facts, and data on patent applications and adult schooling are consistent with the notion that newer technologies are more specific and proprietary. (Copyright: Elsevier)

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File URL: http://dx.doi.org/10.1006/redy.1998.0018
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Bibliographic Info

Article provided by Elsevier for the Society for Economic Dynamics in its journal Review of Economic Dynamics.

Volume (Year): 1 (1998)
Issue (Month): 2 (April)
Pages: 338-370

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Handle: RePEc:red:issued:v:1:y:1998:i:2:p:338-370

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  1. Jovanovic, Boyan & Lach, Saul, 1997. "Product Innovation and the Business Cycle," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 38(1), pages 3-22, February.
  2. 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.
  3. Aghion, P. & Howitt, P., 1989. "A Model Of Growth Through Creative Destruction," Working papers 527, Massachusetts Institute of Technology (MIT), Department of Economics.
  4. Marco Lippi & Lucrezia Reichlin, 1994. "Diffusion of technical change and the decomposition of output into trend and cycle," ULB Institutional Repository 2013/10157, ULB -- Universite Libre de Bruxelles.
  5. Boyan Jovanovic & Rafael Rob, 1990. "Long Waves and Short Waves: Growth Through Intensive and Extensive Search," Levine's Working Paper Archive 2082, David K. Levine.
  6. Timothy F. Bresnahan & Manuel Trajtenberg, 1992. "General Purpose Technologies "Engines of Growth?"," NBER Working Papers 4148, National Bureau of Economic Research, Inc.
  7. Bental, Benjamin & Peled, Dan, 1996. "The Accumulation of Wealth and the Cyclical Generation of New Technologies: A Search Theoretic Approach," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(3), pages 687-718, August.
  8. Jovanovic, B. & Macdonald, G.M., 1988. "Competitive Diffusion," RCER Working Papers 160, University of Rochester - Center for Economic Research (RCER).
  9. Jeffrey R. Campbell, 1997. "Entry, Exit, Embodied Technology, and Business Cycles," NBER Working Papers 5955, National Bureau of Economic Research, Inc.
  10. Jeffrey R. Campbell, 1997. "Computational Appendix to Entry, Exit, Embodied Technology, and Business Cycles," Technical Appendices campbell98, Review of Economic Dynamics.
  11. Andolfatto, D. & MacDonald, G.M., 1995. "Endogeneous Technological Change, Growth, and Aggregate Functions," Working Papers 9504, University of Waterloo, Department of Economics.
  12. Andreas Hornstein & Per Krusell, 1996. "Can Technology Improvements Cause Productivity Slowdowns?," NBER Chapters, in: NBER Macroeconomics Annual 1996, Volume 11, pages 209-276 National Bureau of Economic Research, Inc.
  13. Gort, Michael & Klepper, Steven, 1982. "Time Paths in the Diffusion of Product Innovations," Economic Journal, Royal Economic Society, vol. 92(367), pages 630-53, September.
  14. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth Through Creative Destruction," Scholarly Articles 12490578, Harvard University Department of Economics.
  15. Finn E. Kydland, 1993. "Business cycles and aggregate labor-market fluctuations," Working Paper 9312, Federal Reserve Bank of Cleveland.
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