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Dynamic models of R&D, innovation and productivity : panel data evidence for Dutch and French manufacturing

  • Raymond W.
  • Mairesse J.
  • Mohnen P.
  • Palm F.C.

    (UNU-MERIT)

This paper introduces dynamics in the RD to innovation and innovation to productivity relationships, which have mostly been estimated on cross-sectional data. It considers four nonlinear dynamic simultaneous equations models that include individual effects and idiosyncratic errors correlated across equations and that differ in the way innovation enters the conditional mean of labor productivity through an observed binary indicator, an observed intensity variable or through the continuous latent variables that correspond to the observed occurrence or intensity. It estimates these models by full information maximum likelihood using twounbalanced panels of Dutch and French manufacturing firms from three waves of the Community Innovation Survey. The results provide evidence of robust unidirectional causality from innovation to productivity and of stronger persistence in productivity than in innovation.

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File URL: http://pub.maastrichtuniversity.nl/67198b3f-fe4f-47a5-8869-2c486799d6c4
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Paper provided by United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT) in its series MERIT Working Papers with number 025.

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Date of creation: 2013
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Handle: RePEc:unm:unumer:2013025
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  1. Hall, Bronwyn H & Griliches, Zvi & Hausman, Jerry A, 1986. "Patents and R and D: Is There a Lag?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 27(2), pages 265-83, June.
  2. Elena Huergo & Lourdes Moreno, 2010. "Does history matter for the relationship between R&D, Innovation and Productivity?," EERI Research Paper Series EERI_RP_2010_41, Economics and Econometrics Research Institute (EERI), Brussels.
  3. Zilibotti, Fabrizio & Aghion, Philippe & Acemoglu, Daron, 2006. "Distance to Frontier, Selection, and Economic Growth," Scholarly Articles 4554122, Harvard University Department of Economics.
  4. Rachel Griffith & Elena Huergo & Jacques Mairesse & Bettina Peters, 2006. "Innovation and Productivity across Four European Countries," NBER Working Papers 12722, National Bureau of Economic Research, Inc.
  5. Fariñas, Jose C. & Ruano, Sonia, 2005. "Firm productivity, heterogeneity, sunk costs and market selection," International Journal of Industrial Organization, Elsevier, vol. 23(7-8), pages 505-534, September.
  6. Raymond Wladimir & Mohnen Pierre & Palm Franz & Schim van der Loeff Sybrand, 2006. "Persistence of Innovation in Dutch Manufacturing: Is it Spurious?," Research Memorandum 009, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
  7. Parisi, Maria Laura & Schiantarelli, Fabio & Sembenelli, Alessandro, 2006. "Productivity, innovation and R&D: Micro evidence for Italy," European Economic Review, Elsevier, vol. 50(8), pages 2037-2061, November.
  8. Zvi Griliches, 1979. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," Bell Journal of Economics, The RAND Corporation, vol. 10(1), pages 92-116, Spring.
  9. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54.
  10. 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.
  11. Peters, Bettina, 2005. "Persistence of Innovation: Stylised Facts and Panel Data Evidence," ZEW Discussion Papers 05-81, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  12. Flaig, Gebhard & Stadler, Manfred, 1994. "Success breeds success. The dynamics of the innovation process," Munich Reprints in Economics 20366, University of Munich, Department of Economics.
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  14. Bruno Crépon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation and Productivity : An Econometric Analysis at the Firm Level," Working Papers 98-33, Centre de Recherche en Economie et Statistique.
  15. Geroski, P. A. & Van Reenen, J. & Walters, C. F., 1997. "How persistently do firms innovate?," Research Policy, Elsevier, vol. 26(1), pages 33-48, March.
  16. Daron Acemoglu & Philippe Aghion & Fabrizio Zilibotti, 2002. "Vertical Integration and Distance to Frontier," NBER Working Papers 9191, National Bureau of Economic Research, Inc.
  17. Jacques MAIRESSE & Pierre MOHNEN & Elizabeth KREMP, 2005. "The Importance of R&D and Innovation for Productivity: A Reexamination in Light of the 2000 French Innovation Survey," Annales d'Economie et de Statistique, ENSAE, issue 79-80, pages 487-527.
  18. Saman Majd & Robert S. Pindyck, 1985. "Time to Build, Option Value, and Investment Decisions," NBER Working Papers 1654, National Bureau of Economic Research, Inc.
  19. Rabe-Hesketh, Sophia & Skrondal, Anders & Pickles, Andrew, 2005. "Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects," Journal of Econometrics, Elsevier, vol. 128(2), pages 301-323, October.
  20. Vuong, Quang H, 1989. "Likelihood Ratio Tests for Model Selection and Non-nested Hypotheses," Econometrica, Econometric Society, vol. 57(2), pages 307-33, March.
  21. Bhattacharya, Sudipto & Ritter, Jay R, 1983. "Innovation and Communication: Signalling with Partial Disclosure," Review of Economic Studies, Wiley Blackwell, vol. 50(2), pages 331-46, April.
  22. DUGUET Emmanuel, 2004. "Innovation height, spillovers and TFP growth at the firm level: Evidence from French manufacturing," Development and Comp Systems 0411017, EconWPA.
  23. 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).
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