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Technological Complexity and Economic Growth

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Author Info
Mihaela Iulia Pintea (Florida International University)
Peter Thompson (Florida International University)

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Abstract

Over the last fifty years there have been large secular increases in educational attainment and R&D intensity. The fact that these trends have not stimulated more rapid income growth has been a persistent puzzle for growth theorists. We construct a model of endogenous economic growth in which income growth, R&D intensity, and educational attainment depend on the complexity of new technologies. An increase in complexity that makes passive learning more difficult induces increases in R&D and education, alongside a decline in income growth. Our explanation also predicts a concurrent rise in the skill premium. (Copyright: Elsevier)

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File URL: http://dx.doi.org/10.1016/j.red.2006.12.001
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Publisher Info
Article provided by Elsevier for the Society for Economic Dynamics in its journal Review of Economic Dynamics.

Volume (Year): 10 (2007)
Issue (Month): 2 (April)
Pages: 276-293
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Handle: RePEc:red:issued:06-21

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Related research
Keywords: Endogenous growth Learning R&D Educational attainment Wage inequality Technological complexity

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Find related papers by JEL classification:
O40 - Economic Development, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General

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. 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. [Downloadable!] (restricted)
  2. Brunello, Giorgio & Comi, Simona, 2004. "Education and earnings growth: evidence from 11 European countries," Economics of Education Review, Elsevier, vol. 23(1), pages 75-83, February. [Downloadable!] (restricted)
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  3. Psacharopoulos, George & Layard, Richard, 1979. "Human Capital and Earnings: British Evidence and a Critique," Review of Economic Studies, Blackwell Publishing, vol. 46(3), pages 485-503, July. [Downloadable!] (restricted)
  4. Parente Stephen L., 1994. "Technology Adoption, Learning-by-Doing, and Economic Growth," Journal of Economic Theory, Elsevier, vol. 63(2), pages 346-369, August. [Downloadable!] (restricted)
  5. Dunne, Timothy & Schmitz, James A, Jr, 1995. "Wages, Employment Structure and Employer Size-Wage Premia: Their Relationship to Advanced-Technology Usage at US Manufacturing Establishments," Economica, London School of Economics and Political Science, vol. 62(245), pages 89-107, February. [Downloadable!] (restricted)
  6. Peter Thompson, 2001. "How Much Did the Liberty Shipbuilders Learn? New Evidence for an Old Case Study," Journal of Political Economy, University of Chicago Press, vol. 109(1), pages 103-137, February. [Downloadable!] (restricted)
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  7. Young, Alwyn, 1993. "Invention and Bounded Learning by Doing," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 443-72, June. [Downloadable!] (restricted)
  8. Richard J. Murnane & John B. Willett & Frank Levy, 1995. "The Growing Importance of Cognitive Skills in Wage Determination," NBER Working Papers 5076, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  9. DiNardo, John E & Pischke, Jorn-Steffen, 1997. "The Returns to Computer Use Revisited: Have Pencils Changed the Wage Structure Too?," The Quarterly Journal of Economics, MIT Press, vol. 112(1), pages 291-303, February.
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  10. Doms, Mark & Dunne, Timothy & Troske, Kenneth R, 1997. "Workers, Wages, and Technology," The Quarterly Journal of Economics, MIT Press, vol. 112(1), pages 253-90, February.
  11. Huw Lloyd-Ellis, 1999. "Endogenous Technological Change and Wage Inequality," American Economic Review, American Economic Association, vol. 89(1), pages 47-77, March. [Downloadable!] (restricted)
  12. Elias Dinopoulos & Peter Thompson, 1999. "Reassessing the empirical validity of the human-capital augmented neoclassical growth model," Journal of Evolutionary Economics, Springer, vol. 9(1), pages 135-154. [Downloadable!] (restricted)
  13. Juhn, Chinhui & Murphy, Kevin M & Pierce, Brooks, 1993. "Wage Inequality and the Rise in Returns to Skill," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 410-42, June. [Downloadable!] (restricted)
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  1. Jakub, GROWIEC & Ingmar, SCHUMACHER, 2007. "Technological opportunity, long-run growth and convergence," Discussion Papers 2007034, Université catholique de Louvain, Département des Sciences Economiques. [Downloadable!]
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