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Engines of growth in the US economy

  • ten Raa, Thijs
  • Wolff, Edward N.

There is good reason to believe that R&D influences on TFP growth in other sectors are indirect.For R&D to spill over, it must first be successful in the home sector.Indeed, observed spillovers conform better to TFP growth than to R&D in the upstream sectors.Sectoral TFP growth rates are thus interrelated.Solving the intersectoral TFP equation resolves overall TFP growth into sources of growth.The solution essentially eliminates the spillovers and amounts to a novel decomposition of TFP growth.The top 10 sectors are designated engines of growt led by computers and office machinery.The results are contrasted to the standard, Domar decomposition of TFP growth.

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Article provided by Elsevier in its journal Structural Change and Economic Dynamics.

Volume (Year): 11 (2000)
Issue (Month): 4 (December)
Pages: 473-489

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Handle: RePEc:eee:streco:v:11:y:2000:i:4:p:473-489
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/525148

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  1. Nestor Terleckyj, 1980. "Direct and Indirect Effects of Industrial Research and Development on the Productivity Growth of Industries," NBER Chapters, in: New Developments in Productivity Measurement, pages 357-386 National Bureau of Economic Research, Inc.
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  4. Zvi Griliches, 1979. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 92-116, Spring.
  5. Bernstein, Jeffrey I & Nadiri, M Ishaq, 1989. "Research and Development and Intra-industry Spillovers: An Empirical Application of Dynamic Duality," Review of Economic Studies, Wiley Blackwell, vol. 56(2), pages 249-67, April.
  6. Bresnahan, Timothy F, 1986. "Measuring the Spillovers from Technical Advance: Mainframe Computers inFinancial Services," American Economic Review, American Economic Association, vol. 76(4), pages 742-55, September.
  7. Samuel Kortum & Jonathan Putnam, 1997. "Assigning Patents to Industries: Tests of the Yale Technology Concordance," Economic Systems Research, Taylor & Francis Journals, vol. 9(2), pages 161-176.
  8. Wolff, Edward N. & Ishaq Nadiri, M., 1993. "Spillover effects, linkage structure, and research and development," Structural Change and Economic Dynamics, Elsevier, vol. 4(2), pages 315-331, December.
  9. Timothy F. Bresnahan & Manuel Trajtenberg, 1992. "General Purpose Technologies "Engines of Growth?"," NBER Working Papers 4148, National Bureau of Economic Research, Inc.
  10. Bart Verspagen, 1997. "Measuring Intersectoral Technology Spillovers: Estimates from the European and US Patent Office Databases," Economic Systems Research, Taylor & Francis Journals, vol. 9(1), pages 47-65.
  11. Donald Siegel & Zvi Griliches, 1992. "Purchased Services, Outsourcing, Computers, and Productivity in Manufacturing," NBER Chapters, in: Output Measurement in the Service Sectors, pages 429-460 National Bureau of Economic Research, Inc.
  12. Norihisa Sakurai & George Papaconstantinou & Evangelos Ioannidis, 1997. "Impact of R&D and Technology Diffusion on Productivity Growth: Empirical Evidence for 10 OECD Countries," Economic Systems Research, Taylor & Francis Journals, vol. 9(1), pages 81-109.
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  16. Charles Steindel, 1992. "Manufacturing productivity and high-tech investment," Quarterly Review, Federal Reserve Bank of New York, issue Sum, pages 39-47.
  17. Wolff, E.N., 1996. "Spillovers, Linkages, and Technical Change," Working Papers 96-37, C.V. Starr Center for Applied Economics, New York University.
  18. Bill Lehr & Frank Lichtenberg, 1999. "Information technology and its impact on firm-level productivity: evidence from government and private data sources, 1977-1993," Canadian Journal of Economics, Canadian Economics Association, vol. 32(2), pages 335-362, April.
  19. Berndt, Ernst R. & Morrison, Catherine J., 1992. "High-tech capital formation and economic performance in U.S. manufacturing industries : an exploratory analysis," Working papers 3419-92., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  20. Donald Siegel, 1997. "The Impact Of Computers On Manufacturing Productivity Growth: A Multiple-Indicators, Multiple-Causes Approach," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 68-78, February.
  21. Robert Evenson & Daniel Johnson, 1997. "Introduction: Invention Input-Output Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 9(2), pages 149-160.
  22. Murray Brown & Alfred H. Conrad, 1967. "The Influence of Research and Education on CES Production Relations," NBER Chapters, in: The Theory and Empirical Analysis of Production, pages 341-394 National Bureau of Economic Research, Inc.
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