On the density distribution across space : a probabilistic approach
Epifani, Ilenia (Politecnico di Milano)
Nicolini, Rosella (Institut d'Anàlisi Econòmica)

Date:	2013
Abstract:	Working within a Bayesian parametric framework, we develop a novel approach to studying the distribution of regional population density across space. By exploiting the Gamma distribution, we are able to introduce heterogeneity across space without incurring an a priori definition of territorial units. Our contribution also permits the inclusion of an approximation of individual preferences as a further driving force in location choices. We perform an empirical application to the case of Massachusetts. Our results demonstrate that a subjective measure of distance performs well in replicating the population distribution across Massachusetts.
Grants:	Agència de Gestió d'Ajuts Universitaris i de Recerca 2009/SGR-600
Note:	R. Nicolini's research was supported by a Ramón y Cajal contract. Financial support from research grants 2009SGR600 and SEJ2008-01850 is acknowledged.
Note:	Altres ajuts: SEJ2008-01850
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Language:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Subject:	Agglomerations ; Bayesian inference ; Distance ; Gibbs sampling ; Kendall's tau index ; Population density
Published in:	Journal of regional science, Vol. 53 (2013) , p. 481-510, ISSN 0022-4146

Adreça alternativa: https://hdl.handle.net/10261/17701
DOI: 10.1111/jors.12018

Postprint 32 p, 772.7 KB

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