Dynamic models of R&D, innovation and productivity: Panel data evidence for Dutch and French manufacturing

Raymond, Wladimir, Mairesse, Jacques, Mohnen, Pierre and Palm, Franz (2013). Dynamic models of R&D, innovation and productivity: Panel data evidence for Dutch and French manufacturing. UNU-MERIT.

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  • Author Raymond, Wladimir
    Mairesse, Jacques
    Mohnen, Pierre
    Palm, Franz
    Title Dynamic models of R&D, innovation and productivity: Panel data evidence for Dutch and French manufacturing
    Publication Date 2013
    Publisher UNU-MERIT
    Abstract This paper introduces dynamics in the R&D to innovation and innovation to productivity relationships, which have mostly been estimated on cross-sectional data. It considers four nonlinear dynamic simultaneous equations models that include individual effects and idiosyncratic errors correlated across equations and that differ in the way innovation enters the conditional mean of labour productivity: through an observed binary indicator, an observed intensity variable or through the continuous latent variables that correspond to the observed occurrence or intensity. It estimates these models by full information maximum likelihood using two unbalanced panels of Dutch and French manufacturing firms from three waves of the Community Innovation Survey. The results provide evidence of robust unidirectional causality from innovation to productivity and of stronger persistence in productivity than in innovation.
    Keyword R&D
    Innovation
    Productivity
    Panel data
    Dynamics
    Simultaneous equations
    JEL C33
    C34
    C35
    L60
    O31
    O32
    Copyright Holder UNU-MERIT
    Copyright Year 2013
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    Created: Wed, 11 Dec 2013, 17:15:04 JST