This article presents an agent-based modelof Prato, an Italian textile district where thousands ofsma1l firms specialise into tiny phases of the whole production process. It is an empirical model atscale 1: 1 that reconstructs the information flows between economic actors and connects them...

Policy makers spend large amounts of public resources on the foundation of science parks and other forms of geographically clustered business activities, in order to stimulate regional innovation. Underlying the relation between clusters and innovation is the assumption that co-located firms...

Existing indices measuring the spatial distribution of economic activity such as the Krugman Specialisation Index, the Hirschmann-Herfindahl index and the Ellison-Glaeser index typically do not take into account the spatial structure of the data. In this paper, we first consider traditional...

This paper addresses the question to what extent the performance of industrial sites is affected by their local economic structure and accessibility. For this aim, we test for the existence of statistically significant relationships between agglomeration externalities (specialization, diversity,...

We estimate the impact of local mining activity on the business constraints experienced by 22,150 firms across eight resource-rich countries. We find that with the presence of active mines, the business environment in the immediate vicinity (20 km) of a firm deteriorates but business constraints...

The main contribution of this study is the finding that round numbers can act aspricebarriers for individual stocks. In addition, a first step is made to explain this and therelated phenomena of round number clustering by testing two competing hypotheses,using data from the Dutch stock market...

This paper investigates patterns of manufacturing location in the context of increased economic integration in Central and East European countries. Using regional data for the period 1990-1999, we identify and compare patterns and determinants of manufacturing location in five European Union...

We propose a dynamic clustering model for studying time-varying group structures in multivariate panel data. The model is dynamic in three ways: First, the cluster means and covariance matrices are time-varying to track gradual changes in cluster characteristics over time. Second, the units of...

Contemporary migration studies witness an increasing interest in the socio-economicrole of networks of migrants. Such networks are sometimes even regarded as the mostimportant attraction and location factors for migration, and may even exceed purelyeconomic factors like unemployment and wage...