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...

The effect of the COVID shock on European economies has been severe and also unequal, with some firms being affected much more strongly than others. To improve the effectiveness of policy interventions, policymakers need to understand which types of vulnerable firms have been suddenly pushed...

This paper explores the relationship between new digital technologies, internationalisation activity and its impact on High Growth Enterprises (HGEs), using the EIB Group Survey of Investment and Investment Finance and ORBIS data for 27 EU Member States and the United Kingdom. After controlling...

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...

This paper contributes to a fast-growing literature on the impact of COVID-19 on the business economy, by focusing on how a particular group of firms - High-Growth Enterprises (HGEs) have been affected by COVID-19 across several dimensions, such as investment expectations, investment priorities,...

We analyse how the COVID-19 crisis impacted firms' employment levels and digitalisation efforts differently depending on their pre-crisis productivity, digitalisation and growth performance. We match the EIB Investment Survey with firm-level financial statements from the ORBIS database for 27 EU...