This paper revisits the competition-innovation relationship using an unbalanced panel of enterprise data stemming from four waves of the Luxembourgish innovation survey for the period 2002-2010. We estimate by full-information maximum likelihood a nonlinear dynamic simultaneous-equations model...

This paper considers estimation of factor-augmented panel data regression models with homogenous slope coefficients. One of the most popular approaches towards this end is the pooled common correlated effects CCE estimator of Pesaran 2006. For this estimator to be consistent at the usual sqrt-NT...

This paper introduces dynamics in the RD 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...