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Persistence of Innovation in Dutch Manufacturing: Is it Spurious?

Author

Listed:
  • Wladimir Raymond
  • Pierre Mohnen
  • Franz Palm
  • Sybrand Schim van der Loeff

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.

Suggested Citation

  • 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.
  • Handle: RePEc:ces:ceswps:_1681
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    Cited by:

    1. Gautier Duflos, 2006. "Persistence of innovation, technological change and quality-adjusted patents in the US Pharmaceutical industry," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00113499, HAL.
    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. Trinh, Long, 2015. "Is innovation activity persistent among small firms in developing countries? Evidence from Vietnam," MPRA Paper 63767, University Library of Munich, Germany.
    4. Wladimir Raymond & Pierre Mohnen & Franz Palm & Sybrand Schim van der Loeff, 2009. "Innovative Sales, R&D and Total Innovation Expenditures: Panel Evidence on their Dynamics," CESifo Working Paper Series 2716, CESifo.
    5. Antonelli, Cristiano & Crespi, Francesco & Scellato, Giuseppe, 2010. "Universities look beyond the patent policy discourse in their intellectual property strategies," Department of Economics and Statistics Cognetti de Martiis LEI & BRICK - Laboratory of Economics of Innovation "Franco Momigliano", Bureau of Research in Innovation, Complexity and Knowledge, Collegio 201010, University of Turin.
    6. Alessandra Colombelli & Nick von Tunzelmann, 2011. "The Persistence of Innovation and Path Dependence," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 4, Edward Elgar Publishing.
    7. Wladimir Raymond & Pierre Mohnen & Franz Palm & Sybrand Schim van der Loeff, 2007. "The Behavior of the Maximum Likelihood Estimator of Dynamic Panel Data Sample Selection Models," CESifo Working Paper Series 1992, CESifo.
    8. Juan A. Máñez & María E. Rochina‐Barrachina & Amparo Sanchis & Juan A. Sanchis, 2009. "The Role Of Sunk Costs In The Decision To Invest In R&D," Journal of Industrial Economics, Wiley Blackwell, vol. 57(4), pages 712-735, December.
    9. repec:dau:papers:123456789/5018 is not listed on IDEAS
    10. Mohnen, Pierre & Raymond, Wladimir & Palm, Franz & Schim van der Loeff, Sybrand, 2007. "The Behavior of the Maximum Likelihood Estimator of Dynamic Panel Data Sample Selection Models," MERIT Working Papers 2007-007, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    11. M. Constanza Demmel & Juan A. Máñez & María E. Rochina-Barrachina & Juan A. Sanchis-Llopis, 2017. "Product and process innovation and total factor productivity: Evidence for manufacturing in four Latin American countries," Review of Development Economics, Wiley Blackwell, vol. 21(4), pages 1341-1363, November.
    12. Juan Antonio Máñez Castillejo & Dolores Añón Higón & Juan Alberto Sanchis Llopis, 2011. "The role of extensive and intensive margins in explaining corporate R&D growth: Evidence from Spain," Working Papers. Serie EC 2011-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    13. Joze P. Damijan & Crt Kostevc & Matija Rojec, 2008. "Innovation and Firms' Productivity Growth in Slovenia: Sensitivity of Results to Sectoral Heterogeneity and to Estimation Method," LICOS Discussion Papers 20308, LICOS - Centre for Institutions and Economic Performance, KU Leuven.

    More about this item

    Keywords

    dynamic panel data type 2 tobit; innovation; spurious persistence;

    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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