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Industrial Location and Space: New Insights

Daniel Liviano Solís and Josep Maria Arauzo Carod
Authors registered in the RePEc Author Service: Josep-Maria Arauzo-Carod

Working Papers from Universitat Rovira i Virgili, Department of Economics

Abstract: This paper tries to resolve some of the main shortcomings in the empirical literature of location decisions for new plants, i.e. spatial effects and overdispersion. Spatial effects are omnipresent, being a source of overdispersion in the data as well as a factor shaping the functional relationship between the variables that explain a firm’s location decisions. Using Count Data models, empirical researchers have dealt with overdispersion and excess zeros by developments of the Poisson regression model. This study aims to take this a step further, by adopting Bayesian methods and models in order to tackle the excess of zeros, spatial and non-spatial overdispersion and spatial dependence simultaneously. Data for Catalonia is used and location determinants are analysed to that end. The results show that spatial effects are determinant. Additionally, overdispersion is descomposed into an unstructured iid effect and a spatially structured effect. Keywords: Bayesian Analysis, Spatial Models, Firm Location. JEL Classification: C11, C21, R30.

Keywords: Localització industrial; Anàlisi espacial (Estadística); Estadística bayesiana; 332 - Economia regional i territorial. Economia del sòl i de la vivenda (search for similar items in EconPapers)
Date: 2011
New Economics Papers: this item is included in nep-geo and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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