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Does federally financed business R&D matter for US productivity growth?

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  • Werner Bonte

Abstract

This paper investigates the impact of federally financed business R&D on productivity of the US nonfarm business sector. Results of a cointegration analysis suggest that a long run relation between productivity and total (privately and federally financed) R&D capital stock exists. Moreover, the estimation results do not confirm the finding of previous empirical studies that the productivity effects of federally financed business R&D are lower compared with those of privately financed business R&D.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Applied Economics.

Volume (Year): 35 (2003)
Issue (Month): 15 ()
Pages: 1619-1625

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Handle: RePEc:taf:applec:v:35:y:2003:i:15:p:1619-1625

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  1. Hansen, Bruce E, 2002. "Tests for Parameter Instability in Regressions with I(1) Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 45-59, January.
  2. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
  3. Mansfield, Edwin, 1980. "Basic Research and Productivity Increase in Manufacturing," American Economic Review, American Economic Association, vol. 70(5), pages 863-73, December.
  4. Schankerman, Mark, 1981. "The Effects of Double-Counting and Expensing on the Measured Returns to R&D," The Review of Economics and Statistics, MIT Press, vol. 63(3), pages 454-58, August.
  5. Mamuneas, Theofanis P., 1999. "Spillovers from publicly financed R&D capital in high-tech industries," International Journal of Industrial Organization, Elsevier, vol. 17(2), pages 215-239, February.
  6. Psaradakis, Zacharias, 1994. "A comparison of tests of linear hypotheses in cointegrated vector autoregressive models," Economics Letters, Elsevier, vol. 45(2), pages 137-144, June.
  7. Johansen, Soren, 1992. "Cointegration in partial systems and the efficiency of single-equation analysis," Journal of Econometrics, Elsevier, vol. 52(3), pages 389-402, June.
  8. Stock, James H, 1987. "Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors," Econometrica, Econometric Society, vol. 55(5), pages 1035-56, September.
  9. Peter C.B. Phillips & Bruce E. Hansen, 1988. "Statistical Inference in Instrumental Variables," Cowles Foundation Discussion Papers 869R, Cowles Foundation for Research in Economics, Yale University, revised Apr 1989.
  10. Cheung, Yin-Wong & Lai, Kon S, 1993. "Finite-Sample Sizes of Johansen's Likelihood Ration Tests for Conintegration," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 55(3), pages 313-28, August.
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Cited by:
  1. Spyros Arvanitis & Nora Sydow & Martin Woerter, 2005. "Is There Any Impact of University-Industry Knowledge Transfer on the Performance of Private Enterprises? – An Empirical Analysis Based¨on Swiss Firm Data," KOF Working papers 05-117, KOF Swiss Economic Institute, ETH Zurich.

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