Use this identifier to quote or link this document: http://hdl.handle.net/2072/152137

Industrial Location and Space: New Insights
Liviano Solís, Daniel; Arauzo Carod, Josep Maria
Universitat Rovira i Virgili. Departament d'Economia; Universitat Rovira i Virgili. Centre de Recerca en Economia Industrial i Economia Pública
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.
2011
332 - Economia regional i territorial. Economia del sòl i de la vivenda
Localització industrial
Anàlisi espacial (Estadística)
Estadística bayesiana
Aquest document està subjecte a una llicència d'ús de Creative Commons, amb la qual es permet copiar, distribuir i comunicar públicament l'obra sempre que se'n citin l'autor original, la universitat i el departament i no se'n faci cap ús comercial ni obra derivada, tal com queda estipulat en la llicència d'ús (http://creativecommons.org/licenses/by-nc-nd/2.5/es/)
Working Paper
1988 - 0812
Documents de treball del Departament d'Economia;2011-09
         

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