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Relating the Knowledge Production Function to Total Factor productivity: An Endogenous Growth Puzzle

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Author Info
Y. Abdih
Frederick Joutz
Abstract

The knowledge production function is central to R&D-based growth models. This paper empirically investigates the knowledge production function and intertemporal spillover effects using cointegration techniques. Time-series evidence suggests there are two long-run cointegrating relationships. The first captures a long-run knowledge production function; the second captures a long-run positive relationship between TFP and the knowledge stock. The results indicate the presence of strong intertemporal knowledge spillovers and that the long-run impact of the knowledge stock on TFP is small. This evidence is interpreted in light of existing theoretical and empirical evidence on endogenous growth.

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Paper provided by International Monetary Fund in its series IMF Working Papers with number 05/74.

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Length: 39 pages
Date of creation: 21 Apr 2005
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Handle: RePEc:imf:imfwpa:05/74

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Keywords: Production ; Productivity ; Economic growth ; Economic models ;

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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.:
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  3. Jerry A. Hausman & Bronwyn H. Hall & Zvi Griliches, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," NBER Technical Working Papers 0017, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  4. Zvi Griliches, 1989. "Patents: Recent Trends and Puzzles," NBER Working Papers 2922, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  5. Jaffe, Adam B & Trajtenberg, Manuel & Henderson, Rebecca, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, MIT Press, vol. 108(3), pages 577-98, August. [Downloadable!] (restricted)
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  6. Kortum, Samuel, 1993. "Equilibrium R&D and the Patent-R&D Ratio: U.S. Evidence," American Economic Review, American Economic Association, vol. 83(2), pages 450-57, May.
  7. Arora, Ashish & Gambardella, Alfonso, 1994. "The changing technology of technological change: general and abstract knowledge and the division of innovative labour," Research Policy, Elsevier, vol. 23(5), pages 523-532, September. [Downloadable!] (restricted)
  8. John Freebairn & Bill Griffiths, 2006. "Introduction," The Economic Record, The Economic Society of Australia, vol. 82(s1), pages S1-S1, 09. [Downloadable!] (restricted)
  9. David T. Coe & Elhanan Helpman, 1993. "International R&D Spillovers," IMF Working Papers 93/84, International Monetary Fund.
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  10. Jones, Charles I, 1995. "Time Series Tests of Endogenous Growth Models," The Quarterly Journal of Economics, MIT Press, vol. 110(2), pages 495-525, May. [Downloadable!] (restricted)
  11. 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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  12. Adam B. Jaffe & Manuel Trajtenberg & Michael S. Fogarty, 2000. "Knowledge Spillovers and Patent Citations: Evidence from a Survey of Inventors," American Economic Review, American Economic Association, vol. 90(2), pages 215-218, May. [Downloadable!] (restricted)
  13. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages S71-102, October. [Downloadable!] (restricted)
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  14. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254. [Downloadable!] (restricted)
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Cited by:
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  1. Yasser Abdih & Frederick Joutz, 2006. "Relating the Knowledge Production Function to Total Factor Productivity: An Endogenous Growth Puzzle," IMF Staff Papers, Palgrave Macmillan Journals, vol. 53(2), pages 3. [Downloadable!] (restricted)
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