We propose a model where both R&D and ICT investment feed into a system of three innovation output equations (product, process and organizational innovation), which ultimately feeds into a productivity equation. We find that ICT investment and usage are important drivers of innovation in both manufacturing and services. Doing more R&D has a positive effect on product innovation in manufacturing. The strongest productivity effects are derived from organizational innovation. We find positive effects of product and process innovation when combined with an organizational innovation. There is evidence that organizational innovation is complementary to process innovation.

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This note starts with a retrospective view of the CDM model [Crépon, Bruno, Emmanuel Duguet, and Jacques Mairesse. 1998. "Research, Innovation and Productivity: An Econometric Analysis at the Firm Level." Economics of Innovation and New Technology 7 (2): 115-158.] as an econometric framework for studying innovation and growth. A narrative interpretation of CDM describes the chain from innovative activity at firms to increases in welfare and makes links to the policy environment. Filling in missing pieces of the innovation to productivity puzzle has a heavy data burden. The paper makes use of the micro moments database (MMD) that allows observing micro-level behavior and macrolevel impacts of innovation and production in a large selection of European countries. Two examples are given of research using the MMD. First, we estimate a simplified system of innovation and production equations that can be applied to average firm choices and outcomes, as well as to industry or aggregate outcomes. We find that innovative activity contributes to aggregate productivity even while the average effect at the firm level is insignificant. Next, a crosscountry exploration is made that shows heightened productivity effects of combined use by firms of various enterprise-level information and communications technologies.

Competition can be good or bad for innovation by firms. On the one hand it stimulates firms to innovate in order to escape competition, on the other hand it hampers firms to reap additional profits from innovation. The recent literature has embraced a model that describes an inverted-U shape relationship between competition and innovation at the industry-level. With the Price Cost Margin and Profit Elasticity as measures of competition, we find evidence supporting this prediction using industry data from the Dutch National Accounts. Moreover, we test the non-linear relation at the micro-level, with special attention for the role of the distribution of technology within industries. We find evidence that there is a threshold for this 'technology spread' at which the (marginal) effect of competition on innovation activity by firms turns from positive to negative.