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...

The paper studies the degree of homogeneity of innovative behavior in order to determine empirically an industry classification of Dutch manufacturing that can be used for policy purposes. We use a two-limit tobit model with sample selection, which explains the decisions by business enterprises...

This paper examines the impact of the Dutch R&D fiscal incentive program, known as WBSO, on R&D capital formation. Taking a factor-demand approach we measure the elasticity of firm R&D capital accumulation to its user cost. An econometric model is estimated using a rich unbalanced panel covering...

This paper examines whether there are complementarities between investments in ICT, R&D and organizational innovation, and the effects of different investment profiles on total factor productivity growth on Dutch firm-level data. We estimate an integrated model of investment profile adoption and...

This paper proposes a framework to account for innovation similar to the usual accounting framework in production analysis and a measure of innovativity comparable to that of total factor productivity. This innovation accounting framework is illustrated using micro-aggregated firm data from the...

Almost all empirical research that has attempted to assess the validity of the Porter Hypothesis has started from reduced-form models, e.g. by using single-equation models for estimating the contribution of environmental regulation (ER) to productivity. This paper addresses the Porter Hypothesis...

This paper studies the dynamic relationship between input and output of innovation in Dutch manufacturing using an unbalanced panel of enterprise data from five waves of the Community Innovation Survey during 1994-2004. We estimate by maximum likelihood a dynamic panel data bivariate tobit with...