Understanding causal relationships among key economic variables is crucial for policy makers, who wish to e.g. stimulate private R&D growth. To this end, we applied a technique recently imported from the Machine Learning community (Structural Vector Autoregressions (SVARs) identified using...

Much progress has been made in empirical research into firm growth in recent decades due to factors such as the availability of detailed longitudinal datasets, more powerful computers and new econometric techniques. This book provides an up-to-date catalogue of empirical work, as well as a...

The COVID-19 shock hit firms hard, on average, but how did it hit in the distribution of firms, differently between the high-growth superstars and the firms that were already struggling to survive? This paper implements graphical techniques and quantile regression to analyse the effect of the...