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...

High-Growth Enterprises (HGEs) have a large economic impact, but are notoriously hard to predict. Previous research has linked high-growth episodes to the configuration of lumpy indivisible resources inside firms, such that high capacity utilisation levels might stimulate future growth. We...

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...

High-Growth Enterprises (HGEs) have a large economic impact, but are notoriously hard to predict. Previous research has linked high-growth episodes to the configuration of lumpy indivisible resources inside firms, such that high capacity utilisation levels might stimulate future growth. We...

Serial correlation in annual growth rates carries a lot of information on growth processes it allows us to directly observe firm performance as well as to test theories. Using a 7-year balanced panel of 10 000 French manufacturing firms, we observe that small firms typically are subject to...

Recent work drawing on data for large and small firms has shown a Pareto distribution of firm size. We mix a Gibrat-type growth process among incumbents with an exponential distribution of firm's age, to obtain the empirical Pareto distribution.

Recent research has led to the empirical regularity that firm growth rate distributions are heavy tailed. This finding implies that a few firms experience spectacular growth rates and decline, but that most firms have marginal growth rates. The literature on high growth firms shows that high...