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Persistence of Innovation in Dutch Manufacturing: Is it Spurious?

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  • 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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Bibliographic Info

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
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Handle: RePEc:unm:unumer:2006011

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Keywords: Dynamic panel data type 2 tobit; Innovation; Spurious persistence;

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  1. Janz, Norbert & Lööf, Hans & Peters, Bettina, 2004. "Firm Level Innovation and Productivity - Is there a Common Story Across Countries?," Working Paper Series in Economics and Institutions of Innovation, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies 24, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
  2. Kyriazidou, Ekaterini, 2001. "Estimation of Dynamic Panel Data Sample Selection Models," Review of Economic Studies, Wiley Blackwell, Wiley Blackwell, vol. 68(3), pages 543-72, July.
  3. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation, and Productivity: An Econometric Analysis at the Firm Level," NBER Working Papers 6696, National Bureau of Economic Research, Inc.
  4. 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., John Wiley & Sons, Ltd., vol. 20(1), pages 39-54.
  5. Zvi Griliches, 1990. "Patent Statistics as Economic Indicators: A Survey," NBER Working Papers 3301, National Bureau of Economic Research, Inc.
  6. Peters, Bettina, 2005. "Persistence of Innovation: Stylised Facts and Panel Data Evidence," ZEW Discussion Papers, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research 05-81, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  7. Geroski, Paul A, 1989. "Entry, Innovation and Productivity Growth," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 572-78, November.
  8. Malerba, Franco & Orsenigo, Luigi, 1999. "Technological entry, exit and survival: an empirical analysis of patent data," Research Policy, Elsevier, Elsevier, vol. 28(6), pages 643-660, August.
  9. Amemiya, Takeshi, 1984. "Tobit models: A survey," Journal of Econometrics, Elsevier, Elsevier, vol. 24(1-2), pages 3-61.
  10. 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., John Wiley & Sons, Ltd., vol. 12(3), pages 243-63, May-June.
  11. repec:fth:harver:1473 is not listed on IDEAS
  12. Luuk Klomp & George Van Leeuwen, 2001. "Linking Innovation and Firm Performance: A New Approach," International Journal of the Economics of Business, Taylor & Francis Journals, Taylor & Francis Journals, vol. 8(3), pages 343-364.
  13. Bo E. Honoré & Ekaterini Kyriazidou, 2000. "Panel Data Discrete Choice Models with Lagged Dependent Variables," Econometrica, Econometric Society, Econometric Society, vol. 68(4), pages 839-874, July.
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