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, FranzTitle 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 equationsJEL C33
C34
C35
L60
O31
O32Copyright Holder UNU-MERIT Copyright Year 2013 -
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