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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.

Suggested Citation

  • Werner Bonte, 2003. "Does federally financed business R&D matter for US productivity growth?," Applied Economics, Taylor & Francis Journals, vol. 35(15), pages 1619-1625.
  • Handle: RePEc:taf:applec:v:35:y:2003:i:15:p:1619-1625 DOI: 10.1080/0003684032000125079
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    References listed on IDEAS

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    1. Mansfield, Edwin, 1980. "Basic Research and Productivity Increase in Manufacturing," American Economic Review, American Economic Association, vol. 70(5), pages 863-873, December.
    2. 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 313-328, August.
    3. 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.
    4. 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.
    5. Osterwald-Lenum, Michael, 1992. "A Note with Quantiles of the Asymptotic Distribution of the Maximum Likelihood Cointegration Rank Test Statistics," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 461-472, August.
    6. 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 454-458, August.
    7. 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.
    8. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    9. Stock, James H, 1987. "Asymptotic Properties of Least Squares Estimators of Cointegrating Vectors," Econometrica, Econometric Society, vol. 55(5), pages 1035-1056, September.
    10. 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.
    11. 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.
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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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