Persistence of Innovation in Dutch Manufacturing: Is it Spurious?
AbstractThis 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 InfoPaper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 1681.
Date of creation: 2006
Date of revision:
dynamic panel data type 2 tobit; innovation; spurious persistence;
Other versions of this item:
- Wladimir Raymond & Pierre Mohnen & Franz Palm & Sybrand Schim van der Loeff, 2010. "Persistence of Innovation in Dutch Manufacturing: Is It Spurious?," The Review of Economics and Statistics, MIT Press, vol. 92(3), pages 495-504, August.
- Mohnen, Pierre & Schim van der Loeff, S. & Palm, Franz & Raymond, Wladimir, 2006. "Persistence of Innovation in Dutch Manufacturing: Is it Spurious?," UNU-MERIT Working Paper Series 011, United Nations University, Maastricht Economic and social Research and training centre on Innovation and Technology.
- Wladimir Raymond & Pierre Mohnen & Franz Palm & Sybrand Schim van der Loeff, 2006. "Persistence of Innovation in Dutch Manufacturing: Is it Spurious?," CIRANO Working Papers 2006s-04, CIRANO.
- Raymond Wladimir & Mohnen, Pierre & Palm, Franz & Schim, van der Loeff, Sybrand, 2006. "Persistence of Innovation in Dutch Manufacturing: Is it Spurious?," Research Memoranda 009, Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization.
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
- O31 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-04-08 (All new papers)
- NEP-INO-2006-04-08 (Innovation)
- NEP-TID-2006-04-08 (Technology & Industrial Dynamics)
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