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...

Our empirical literature review shows that little is known about how firm performance changes with age, presumably because of the paucity of data on firm age. For Spanish manufacturing firms, we analyse the firm performance related to firm age between 1998 and 2006. We find evidence that firms...

Our empirical literature review shows that little is known about how firm performance changes with age, presumably because of the paucity of data on firm age. For Spanish manufacturing firms, we analyse the firm performance related to firm age between 1998 and 2006. We find evidence that firms...

While several plots of the aggregate age distribution suggest that firm age is exponentially distributed, we find some departures from the exponential benchmark. At the lower tail, we find that very young establishments are more numerous than expected, but they face high exit hazards. At the...

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...

We investigate the lead-lag relationship between growth of patent applications, growth of R&D, and growth of total sectoral employment for 270 German labour market regions over the period 1999-2005. Our unique panel dataset includes information on four two-digit industries, namely Chemistry,...

This paper focuses on how consumer motivation can be tapped in order to encourage the adoption of cleaner technologies. Consumers are heterogeneous -- they may be guided by intrinsic motivation or extrinsic motivation. While information provision policies (such as the energy label for cars) may...

We investigate the lead-lag relationship between growth of patent applications, growth of R&D, and growth of total sectoral employment for 270 German labour market regions over the period 1999-2005. Our unique panel dataset includes information on four two-digit industries, namely Chemistry,...

We apply a reduced-form vector autoregression model to analyze the growth processes of Italian manufacturing firms, 1989-1997. We focus in particular on lead-lag associations describing the coevolution of employment growth, sales growth, growth of profits and labour productivity growth....