Innovative Sales, R&D and Total Innovation Expenditures:Panel Evidence on their Dynamics
Abstract
This paper studies the dynamic relationship between input and output of innovation in Dutch manufacturing using an unbalanced panel of enterprise data from five waves of the Community Innovation Survey during 1994-2004. We estimate by maximum likelihood a dynamic panel data bivariate tobit with double-index sample selection accounting for individual effects. We find persistence of innovation input and innovation output, a lag effect of the former on the latter and a feedback effect of the latter on the former. The lag effect remains significant in the high-tech sector even after four years. Firm and industry effects are also important.Download Info
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Paper provided by United Nations University, Maastricht Economic and social Research and training centre on Innovation and Technology in its series UNU-MERIT Working Paper Series with number 029.Length:
Date of creation: 2009
Date of revision:
Handle: RePEc:dgr:unumer:2009029
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Web page: http://www.merit.unu.edu
Related research
Keywords: innovation; production function; panel data; CIS data; bivariate dynamic tobit; the Netherlands;Other versions of this item:
- 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," CIRANO Working Papers 2009s-29, CIRANO.
- Raymond Wladimir & Mohnen Pierre & Palm Franz & Schim van der Loeff Sybrand, 2009. "Innovative Sales, R&D and Total Innovation Expenditures: Panel Evidence on their Dynamics," Research Memoranda 028, Maastricht : METEOR, Maastricht Research School of Economics of Technology and Organization.
- 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 Group Munich.
- 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
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Marco Capasso & Elena Cefis & Koen Frenken, 2009.
"Do some Firms Persistently Outperform?,"
Working Papers
09-28, Utrecht School of Economics.
- Marco Capasso & Elena Cefis & Koen Frenken, 2009. "Do Some Firms Persistently Outperform ?," LEM Papers Series 2009/15, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
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