This paper consists in a detailed robustness investigation of the Crépon, Duguet and Mairesse [1998] (CDM) econometric framework, which encompasses as a reduced form equation the production function extended to R&D, as pioneered by Zvi Griliches. We focus on the sensitivity of the estimated...

This paper proposes a Bayesian approach to estimate a factor augmented productivity equation. We exploit the panel dimension of our data and distinguish individual-specic and time-specic factors. On the basis of 14 technology and infrastructure indicators from 37 countries over a 10-year...

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...

This paper presents an econometric analysis of the characteristics of firm’s cooperating with universities using Community Innovation Survey (CIS) data for 14 European countries. Our model incorporates three groups of variables which could be related to the probability to cooperate with...

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This paper compares the contribution of R&D to innovation in terms of the various innovation output measures provided by the third Community Innovation Survey (CIS 3) for French manufacturing firms and in terms of accounting for interindustry innovation differences.