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Human capital and innovation: evidence from panel cointegration tests

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  • Vladimir Kuhl Teles
  • Renato Joiozo

Abstract

Panel cointegration techniques applied to pooled data for 27 countries for the period 1960 to 2000 indicate that (1) government spending in education and innovation indicators is cointegrated; (2) education hierarchy is relevant when explaining innovation; and (3) relationship between education and innovation can be obtained after an accommodation of a level structural break.

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Bibliographic Info

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

Volume (Year): 18 (2011)
Issue (Month): 17 ()
Pages: 1629-1632

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Handle: RePEc:taf:apeclt:v:18:y:2011:i:17:p:1629-1632

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Related research

Keywords: human capital; innovation; panel cointegration;

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References

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  1. Robert J. Barro & Jong-Wha Lee, 2000. "International Data on Educational Attainment Updates and Implications," NBER Working Papers 7911, National Bureau of Economic Research, Inc.
  2. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
  3. Perron, P. & Bai, J., 1995. "Estimating and Testing Linear Models with Multiple Structural Changes," Cahiers de recherche 9552, Universite de Montreal, Departement de sciences economiques.
  4. Cohen, Daniel & Soto, Marcelo, 2001. "Growth and Human Capital: Good Data, Good Results," CEPR Discussion Papers 3025, C.E.P.R. Discussion Papers.
  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.
  6. Joakim Westerlund, 2006. "Testing for Panel Cointegration with Multiple Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(1), pages 101-132, 02.
  7. Bottazzi, Laura & Peri, Giovanni, 2003. "Innovation and spillovers in regions: Evidence from European patent data," European Economic Review, Elsevier, vol. 47(4), pages 687-710, August.
  8. Suzanne McCoskey & Chihwa Kao, 1998. "A residual-based test of the null of cointegration in panel data," Econometric Reviews, Taylor & Francis Journals, vol. 17(1), pages 57-84.
  9. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
  10. Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-93, January.
  11. Kao, Chihwa, 1999. "Spurious regression and residual-based tests for cointegration in panel data," Journal of Econometrics, Elsevier, vol. 90(1), pages 1-44, May.
  12. Suzanne McCoskey & Chihwa Kao, 1997. "A Monte Carlo Comparison of Tests for Cointegration in Panel Data," Econometrics 9712002, EconWPA.
  13. Jérôme Vandenbussche & Philippe Aghion & Costas Meghir, 2006. "Growth, distance to frontier and composition of human capital," Journal of Economic Growth, Springer, vol. 11(2), pages 97-127, June.
  14. Peter J. Klenow & Mark Bils, 2000. "Does Schooling Cause Growth?," American Economic Review, American Economic Association, vol. 90(5), pages 1160-1183, December.
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Cited by:
  1. Polona Domadenik & Dasa Farcnik, 2012. "The Role of the Education System and On-the-Job Training in Innovation: Evidence from the Slovenian Manufacturing and Service Sector," Croatian Economic Survey, The Institute of Economics, Zagreb, vol. 14(1), pages 43-67, April.

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