The aim of this paper is an investigation on the role of demand upon innovation. Despite the decades-long debate on demand and innovation, theory still lacks an analytical formulation. This paper proposes a model where demand is conceived as a peculiar blend of two conditions, market size, and...

Probabilistic graphical models successfully combine probability with graph theory and therefore provide applied statisticians with a powerful data mining engine. Graphical models are a good framework for formal analysis, allowing the researcher to obtain a quick overview of the structure of...

The aim of this paper is an investigation on the role of demand in industrial dynamics. Despite the decades-long debate on demand and innovation, theory still lacks a comprehensive analytical formulation. This paper proposes a model where demand is conceived as a peculiar blend of two...

Using both regression analysis and an unsupervised graphical model approach (never applied before to this issue), we confirm the rejection of the Gibrat's law when our firm-level data are considered over the entire investigated period, while the opposite is true when we allow for market...

Using both regression analysis and an unsupervised graphical model approach (never applied before to this issue), we confirm the rejection of the Gibrat's law when our firm-level data are considered over the entire investigated period, while the opposite is true when we allow for market...