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 examines empirically the relationship between innovation and market structure within a simultaneous framework at the industry level of aggregation. We use a model in which R&D affects both, demand and cost conditions. An optimization process leads to optimal industry R&D expenditure...

This paper examines empirically the relationship between innovation and market structure within a simultaneous framework at the industry level of aggregation. We use a model in which R&D affects both, demand and cost conditions. An optimization process leads to optimal industry R&D expenditure...

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...