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Vocational Training and Innovation

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  • Legros, Diego
  • Gallié, Emilie-Pauline

Abstract

Human capital is considered as one of the main inputs in economic growth. Human capital can generate endogenous growth thanks to a continuous process of knowledge and externalities accumulation (Aghion and Howitt, 1998). In that context, this paper explores the relationship between innovation and vocational training. Our methodological approach allows to contribute to the literature in three manners. First, we propose different indicators of vocational training. Second, we build a count data panel with a long time data series. This deals with the issue of non-random selection and potentially with measurement error from short panels. Finally, we explicitly allow for endogeneity and fixed effects using GMM techniques. Estimations are made on a panel data set relative to French industrial firms over the period 1986-1992. Our results indicate that whatever the indicators, vocational training has a positive impact on the technological innovation.

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Bibliographic Info

Paper provided by Paris Dauphine University in its series Economics Papers from University Paris Dauphine with number 123456789/5018.

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Date of creation: Aug 2008
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Handle: RePEc:dau:papers:123456789/5018

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Related research

Keywords: R&D; count panel data; training; patents; linear feedback model;

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References

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  1. Wladimir Raymond & Pierre Mohnen & Franz Palm & Sybrand Schim van der Loeff, 2006. "Persistence of Innovation in Dutch Manufacturing: Is it Spurious?," CESifo Working Paper Series 1681, CESifo Group Munich.
  2. Emmanuel Duguet & Nathalie Greenan, 1997. "Le biais technologique : une analyse économétrique sur données individuelles," Revue Économique, Programme National Persée, vol. 48(5), pages 1061-1089.
  3. Mohnen,Pierre & Therrien,Pierre, 2001. "How Innovative are Canadian Firms Compared to Some European Firms? A Comparative Look at Innovation Surveys," Research Memorandum 032, Maastricht University, Maastricht Economic Research Institute on Innovation and Technology (MERIT).
  4. Abdelmoula M. & Bresson G., 2005. "Patents and R&D spillovers in some European regions: a dynamic count panel data model," Working Papers ERMES 0507, ERMES, University Paris 2.
  5. Bruno Crepon & Emmanuel Duguet & Jacques Mairessec, 1998. "Research, Innovation And Productivi[Ty: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
  6. 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.
  7. Zvi Griliches, 1990. "Patent Statistics as Economic Indicators: A Survey," NBER Working Papers 3301, National Bureau of Economic Research, Inc.
  8. Blundell, Richard & Griffith, Rachel & Van Reenen, John, 1995. "Dynamic Count Data Models of Technological Innovation," Economic Journal, Royal Economic Society, vol. 105(429), pages 333-44, March.
  9. Cincera, Michele, 1997. "Patents, R&D, and Technological Spillovers at the Firm Level: Some Evidence from Econometric Count Models for Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 265-80, May-June.
  10. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
  11. 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, vol. 34(2), pages 143-173, October.
  12. 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.
  13. Paul M Romer, 1999. "Endogenous Technological Change," Levine's Working Paper Archive 2135, David K. Levine.
  14. Crepon, B. & Duguet, E. & Kabla, I., 1995. "A Moderate Support to Schumpeterian Conjectures from Various Innovation Measures," Papiers d'Economie Mathématique et Applications 95.06, Université Panthéon-Sorbonne (Paris 1).
  15. repec:fth:harver:1473 is not listed on IDEAS
  16. repec:fth:inseep:9833 is not listed on IDEAS
  17. Bronwyn H. Hall & Zvi Griliches & Jerry A. Hausman, 1984. "Patents and R&D: Is There A Lag?," NBER Working Papers 1454, National Bureau of Economic Research, Inc.
  18. Samuel Kortum & Josh Lerner, 2000. "Assessing the Contribution of Venture Capital to Innovation," RAND Journal of Economics, The RAND Corporation, vol. 31(4), pages 674-692, Winter.
  19. Yannick Carriou & François Jeger, 1997. "La formation continue dans les entreprises et son retour sur investissement," Économie et Statistique, Programme National Persée, vol. 303(1), pages 45-58.
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