Abstract
A vast literature has been recently concerned with the analysis of variation in overdispersed counts across geographical areas. In this paper, we extend the univariate semiparametric models introduced by Biggeri et al. (2003) to the analysis of multiple spatial counts. The proposed approach is applied to modeling the geographical distribution of employees by economic sectors of the manufacturing industry in Teramo province (Abruzzo) during 2001.
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Alfó, M., Postiglione, P. (2006). A Spatial Mixed Model for Sectorial Labour Market Data. In: Zani, S., Cerioli, A., Riani, M., Vichi, M. (eds) Data Analysis, Classification and the Forward Search. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-35978-8_39
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DOI: https://doi.org/10.1007/3-540-35978-8_39
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