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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/UQAM)
Glenn M. MacDonald () (W. E. Simon Graduate School of Business Administration and Department of Economics, University of Rochester; Economics Research Center / NORC)

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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. The key feature 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.

Ce papier développe et analyse un modèle macroéconomique dans lequel croissance et fluctuations sont le résultat de la découverte et de la diffusion de nouvelles technologies; il n'y a pas de chocs agrégés exogènes. Le comportement dans le temps des agrégats est mû par l'effort d'innovation des individus ou par l'effort d'utilisation des innovations faites par des autres. Les paramètres décrivant les préférences, les possibilités de production et les technologies d'apprentissage sont estimés au moyen de données américaines d'après-guerre. Le modèle livre des agrégats qui croissent et fluctuent en grande partie comme dans les données. Les faits saillants concernant la croissance d'après-guerre sont expliqués par de nouvelles technologies qui diffèrent en termes d'ampleur d'amélioration par rapport aux méthodes existantes et de difficulté d'acquisition. Le modèle implique une tendance négative de la dispersion technologique. De plus, il montre que la croissance généralement plus faible des deux dernières décennies est le résultat de nouvelles technologies offrant des améliorations comparativement faibles ou moins bien applicables. Les données sur la part croissante et variable de Ph.D. en ingénieurie corroborent l'interprétation technologique des faits saillants de la croissance par le modèle, et les données sur les demandes de brevets et l'éducation des adultes sont conformes avec la notion que les technologies les plus récentes sont plus spécifiques et exclusives.

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File URL: http://www.unites.uqam.ca/eco/CREFE/cahiers/cah58.pdf
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Publisher Info
Paper provided by CREFE, Université du Québec à Montréal in its series Cahiers de recherche CREFE / CREFE Working Papers with number 58.

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Length: 60 pages
Date of creation: Jan 1998
Date of revision:
Publication status: Forthcoming, Review of Economic Dynamics
Handle: RePEc:cre:crefwp:58

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Related research
Keywords: Growth Technology Fluctuations

Other versions of this item:

Find related papers by JEL classification:
O3 - Economic Development, Technological Change, and Growth - - Technological Change
O4 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

This item is featured on the following reading lists:

  1. Quantitative Macroeconomics and Real Business Cycles (QM&RBC)
References listed on IDEAS
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. Trajtenberg, M. & Bresnahan, T.F., 1992. "General Purpose Technologies: "Engines of Growth"," Papers 16-92, Tel Aviv.
    Other versions:
  2. Jovanovic, Boyan & Rob, Rafael, 1990. "Long Waves and Short Waves: Growth through Intensive and Extensive Search," Econometrica, Econometric Society, vol. 58(6), pages 1391-1409, November. [Downloadable!] (restricted)
    Other versions:
  3. Finn E. Kydland, 1993. "Business cycles and aggregate labor-market fluctuations," Working Paper 9312, Federal Reserve Bank of Cleveland. [Downloadable!]
  4. Jovanovic, B. & Macdonald, G.M., 1988. "Competitive Diffusion," RCER Working Papers 160, University of Rochester - Center for Economic Research (RCER).
    Other versions:
  5. 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)
  6. 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.
  7. 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.
    Other versions:
  8. Lippi, Marco & Reichlin, Lucrezia, 1993. "Diffusion of Technical Change and the Decomposition of Output into Trend and Cycle," CEPR Discussion Papers 775, C.E.P.R. Discussion Papers. [Downloadable!] (restricted)
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  9. 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. [Downloadable!] (restricted)
  10. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth through Creative Destruction," Econometrica, Econometric Society, vol. 60(2), pages 323-51, March. [Downloadable!] (restricted)
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  11. Jeffrey R. Campbell, 1997. "Entry, Exit, Embodied Technology, and Business Cycles," NBER Working Papers 5955, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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