Do firms in the same sector converge towards the same R&D intensities? Previous research has often assumed this to be true. A closer examination, using microdata from the EU Industrial R&D Investment Scoreboard for the years 2000-2015, shows a large amount of heterogeneity in R&D intensities...

This paper introduces a little known category of estimators - Linear Non-Gaussian vector autoregression models that are acyclic or cyclic - imported from the machine learning literature, to revisit a well-known debate. Does exporting increase firm productivity? Or is it only more productive...

Structural vector-autoregressive models are potentially very useful tools for guiding both macro- and microeconomic policy. In this paper, we present a recently developed method for exploiting non-Gaussianity in the data for estimating such models, with the aim of capturing the causal structure...