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Persistence of innovation in Dutch manufacturing : is it spurious?

Author

Listed:
  • Raymond, W.

    (Quantitative Economics)

  • Mohnen, P.

    (Mt Economic Research Inst on Innov/Techn)

  • Palm, F.C.

    (Quantitative Economics)

  • Schim van der Loeff, S.

    (Quantitative Economics)

Abstract

This paper studies the persistence of innovation and the dynamics of innovation output in Dutch manufacturing using firm data from three waves of the Community Innovation Surveys (CIS), pertaining to the periods 1994-1996, 1996-1998, and 1998-2000. We estimate by maximum likelihood a dynamic panel data type 2 tobit model accounting for individual effects and handling the initial conditions problem. We find that there is no evidence of true persistence in achieving technological product or process innovations, while past shares of innovative sales condition, albeit to a small extent, current shares of innovative sales.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Raymond, W. & Mohnen, P. & Palm, F.C. & Schim van der Loeff, S., 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).
  • Handle: RePEc:unm:umamet:2006009
    DOI: 10.26481/umamet.2006009
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    References listed on IDEAS

    as
    1. Cefis, Elena & Orsenigo, Luigi, 2001. "The persistence of innovative activities: A cross-countries and cross-sectors comparative analysis," Research Policy, Elsevier, vol. 30(7), pages 1139-1158, August.
    2. 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, January.
    3. Bettina Peters, 2009. "Persistence of innovation: stylised facts and panel data evidence," The Journal of Technology Transfer, Springer, vol. 34(2), pages 226-243, April.
    4. Malerba, Franco & Orsenigo, Luigi, 1999. "Technological entry, exit and survival: an empirical analysis of patent data," Research Policy, Elsevier, vol. 28(6), pages 643-660, August.
    5. repec:fth:harver:1473 is not listed on IDEAS
    6. Peters, Bettina & Lööf, Hans & Janz, Norbert, 2003. "Firm Level Innovation and Productivity: Is there a Common Story Across Countries?," ZEW Discussion Papers 03-26, ZEW - Leibniz Centre for European Economic Research.
    7. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    8. 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.
    9. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    10. Peter W Roberts, 2001. "Innovation and firm-level persistent profitability: a Schumpeterian framework," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 22(4-5), pages 239-250.
    11. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
    12. Ekaterini Kyriazidou, 2001. "Estimation of Dynamic Panel Data Sample Selection Models," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 68(3), pages 543-572.
    13. Ahn, Seung C. & Schmidt, Peter, 1995. "Efficient estimation of models for dynamic panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 5-27, July.
    14. Jacques Mairesse & Pierre Mohnen, 2001. "To Be or Not To Be Innovative: An Exercise in Measurement," NBER Working Papers 8644, National Bureau of Economic Research, Inc.
    15. Geroski, Paul A, 1989. "Entry, Innovation and Productivity Growth," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 572-578, November.
    16. George van Leeuwen, 2002. "Linking Innovation to Productivity Growth Using Two Waves of the Community Innovation Survey," OECD Science, Technology and Industry Working Papers 2002/8, OECD Publishing.
    17. Crepon, Bruno & Duguet, Emmanuel, 1997. "Estimating the Innovation Function from Patent Numbers: GMM on Count Panel Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 243-263, May-June.
    18. Bo E. Honoré & Ekaterini Kyriazidou, 2000. "Panel Data Discrete Choice Models with Lagged Dependent Variables," Econometrica, Econometric Society, vol. 68(4), pages 839-874, July.
    19. Elena Cefis & Matteo Ciccarelli, 2005. "Profit differentials and innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(1-2), pages 43-61.
    20. Luuk Klomp & George Van Leeuwen, 2001. "Linking Innovation and Firm Performance: A New Approach," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 8(3), pages 343-364.
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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives

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