Modelling population density over time : how spatial distance matters
Epifani, Ilenia (Politecnico di Milano)
Nicolini, Rosella (Universitat Autònoma de Barcelona. Departament d'Economia Aplicada)

Data:	2017
Resum:	This study provides an empirical application of the Bayesian approach for modelling the evolution of population density distribution across time. It focuses on the case of Massachusetts by tracking changes in the importance of spatial distance from Boston concerning citizens' choices of residence according to data for 1880- 1890 and 1930-2010. By adopting a Bayesian strategy, results show that Boston reinforced its attractiveness until the 1960s, when the city's accessibility no longer represented the unique determinant of population density distribution. Referring to selected historical evidence, a few possible interpretations are presented to endorse these results. La modélisation de la densité de la population au fil du temps: l'importance de la distance spatiale. Regional Studies.
Ajuts:	Ministerio de Economía y Competitividad ECO2014-52506 Agència de Gestió d'Ajuts Universitaris i de Recerca 2014SGR327
Drets:	Tots els drets reservats.
Llengua:	Anglès
Document:	Article ; recerca ; Versió acceptada per publicar
Matèria:	Bayesian inference ; Distance ; Ethnic composition ; Population distribution ; Random frailties
Publicat a:	Regional studies, Vol. 51 Núm. 4 (2017) , p. 602-6015, ISSN 0034-3404

DOI: 10.1080/00343404.2015.1110237

Postprint 35 p, 806.9 KB

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