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Relating the Knowledge Production Function to total Factor Productivity; An Endogenous Growth Puzzle

  • Frederick L. Joutz
  • Yasser Abdih

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
Date of creation: 01 Apr 2005
Date of revision:
Handle: RePEc:imf:imfwpa:05/74
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  1. Zvi Griliches, 1989. "Patents: Recent Trends and Puzzles," NBER Working Papers 2922, National Bureau of Economic Research, Inc.
  2. Manuel Trajtenberg & Adam B. Jaffe & 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.
  3. Peter Thompson & Melanie Fox Kean, 2004. "Patent Citations and the Geography of Knowledge Spillovers: A Reassessment," Working Papers 0401, Florida International University, Department of Economics.
  4. 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.
  5. Elhanan Helpman & David T. Coe, 1993. "International RandD Spillovers," IMF Working Papers 93/84, International Monetary Fund.
  6. 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.
  7. Hendry, David F, 1986. "Econometric Modelling with Cointegrated Variables: An Overview," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 48(3), pages 201-12, August.
  8. Paul Romer, 1989. "Endogenous Technological Change," NBER Working Papers 3210, National Bureau of Economic Research, Inc.
  9. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1992. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," NBER Working Papers 3993, National Bureau of Economic Research, Inc.
  10. Aghion, P. & Howitt, P., 1989. "A Model Of Growth Through Creative Destruction," UWO Department of Economics Working Papers 8904, University of Western Ontario, Department of Economics.
  11. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
  12. 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.
  13. Nelson, Charles R. & Plosser, Charles I., 1982. "Trends and random walks in macroeconmic time series : Some evidence and implications," Journal of Monetary Economics, Elsevier, vol. 10(2), pages 139-162.
  14. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth Through Creative Destruction," Scholarly Articles 12490578, Harvard University Department of Economics.
  15. 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.
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