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Persistence of Innovation in Dutch Manufacturing: Is it Spurious?

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Listed author(s):
  • Mohnen, Pierre

    ()

    (United Nations University, Maastricht Economic and social Research and training centre on Innovation and Technology)

  • Schim van der Loeff, S.

    ()

    (University of Maastricht, Department of Quantitative Economics)

  • Palm, Franz

    ()

    (University of Maastricht, Department of Quantitative Economics)

  • Raymond, Wladimir

    ()

    (University of Maastricht, Department of 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.

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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 011.

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Date of creation: 2006
Handle: RePEc:unm:unumer:2006011
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Keywords: Dynamic panel data type 2 tobit; Innovation; Spurious persistence;

Other versions of this item:

Find related papers by 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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  1. 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.
  2. 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.
  3. 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.
  4. repec:fth:harver:1473 is not listed on IDEAS
  5. 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 - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  6. 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.
  7. 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.
  8. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 3-61.
  9. Ekaterini Kyriazidou, 2001. "Estimation of Dynamic Panel Data Sample Selection Models," Review of Economic Studies, Oxford University Press, vol. 68(3), pages 543-572.
  10. Geroski, Paul A, 1989. "Entry, Innovation and Productivity Growth," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 572-578, November.
  11. 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.
  12. 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.
  13. 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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