Dynamic Models of R&D, Innovation and Productivity: Panel Data Evidence for Dutch and French Manufacturing

Wladimir Raymond (), Jacques Mairesse, Pierre Mohnen and Franz Palm

No 19074, NBER Working Papers from National Bureau of Economic Research, Inc

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 labor 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.

JEL-codes: C33 C34 C35 L60 O31 O32 (search for similar items in EconPapers)
Date: 2013-05
New Economics Papers: this item is included in nep-cse, nep-eff, nep-eur, nep-ino, nep-knm, nep-sbm and nep-tid
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Published as European Economic Review Volume 78, August 2015, Pages 285–306 Cover image Dynamic models of R & D, innovation and productivity: Panel data evidence for Dutch and French manufacturing Wladimir Raymonda, , Jacques Mairesseb, , Pierre Mohnenc, , , Franz Palmd,

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Related works:
Journal Article: Dynamic models of R & D, innovation and productivity: Panel data evidence for Dutch and French manufacturing (2015)
Working Paper: Dynamic Models of R&D, Innovation and Productivity: Panel Data Evidence for Dutch and French Manufacturing (2013)
Working Paper: Dynamic Models of R&D, Innovation and Productivity: Panel Data Evidence for Dutch and French Manufacturing (2013)
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