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Education, growth and technology diffusion

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  • Tobias Heinrich

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    (University of Freiburg)

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    Abstract

    This paper tests the Nelson-Phelps hypothesis with recently developed panel cointegration tests and new cross-country datasets. The empirical results give evidence that all types of education are important for TFP growth and that there is an interaction between education and the distance to the technology frontier. However, the analysis of sub samples of the data indicates that the evidence of the Nelson-Phelps hypothesis is only convincing for developing countries whereas the evidence for developed countries is rather weak.

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    File URL: http://www.accessecon.com/Pubs/EB/2012/Volume32/EB-12-V32-I1-P81.pdf
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    Bibliographic Info

    Article provided by AccessEcon in its journal Economics Bulletin.

    Volume (Year): 32 (2012)
    Issue (Month): 1 ()
    Pages: 866-870

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    Handle: RePEc:ebl:ecbull:eb-12-00065

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    Related research

    Keywords: Education; TFP growth; Technology Diffusion; Panel cointegration;

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    References

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    1. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, Cambridge University Press, vol. 20(03), pages 597-625, June.
    2. Jérôme Vandenbussche & Philippe Aghion & Costas Meghir, 2006. "Growth, distance to frontier and composition of human capital," Journal of Economic Growth, Springer, Springer, vol. 11(2), pages 97-127, June.
    3. Jess Benhabib & Mark Spiegel, 2002. "Human capital and technology diffusion," Proceedings, Federal Reserve Bank of San Francisco, Federal Reserve Bank of San Francisco, issue Nov.
    4. Peter Pedroni, 1999. "Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Department of Economics Working Papers, Department of Economics, Williams College 2000-02, Department of Economics, Williams College.
    5. Levon Barseghyan & Riccardo DiCecio, 2010. "Cross-country income convergence revisited," Working Papers, Federal Reserve Bank of St. Louis 2010-021, Federal Reserve Bank of St. Louis.
    6. Vandenbussche, Jérôme & Aghion, Philippe & Meghir, Costas, 2006. "Growth, distance to frontier and composition of human capital," Scholarly Articles 12490648, Harvard University Department of Economics.
    7. Jakob B. Madsen & EPRU & FRU, 2007. "Semi-Endogenous Versus Schumpeterian Growth Models: Testing The Knowledge Production Function Using International Data," Development Research Unit Working Paper Series, Monash University, Department of Economics 26-07, Monash University, Department of Economics.
    8. Benhabib, Jess & Spiegel, Mark M., 1994. "The role of human capital in economic development evidence from aggregate cross-country data," Journal of Monetary Economics, Elsevier, Elsevier, vol. 34(2), pages 143-173, October.
    9. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, Elsevier, vol. 90(1), pages 1-44, May.
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    Cited by:
    1. Hafner, Kurt A. & Mayer-Foulkes, David, 2013. "Fertility, economic growth, and human development causal determinants of the developed lifestyle," Journal of Macroeconomics, Elsevier, Elsevier, vol. 38(PA), pages 107-120.

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