In this paper, we investigate the pattern of longevity in an Italian region at a municipality level in two different periods. Spatio-temporal modeling is used to tackle at both periods the random variations in the occurrence of long-lived individuals, due to the rareness of such events in small areas. This method allows to exploit the spatial proximity smoothing the observed data, as well as to control for the effects of a set of regressors. As a result, clusters of areas characterized by extreme indexes of longevity are well identified and the temporal evolution of the phenomenon can be depicted. A joint analysis of male and female longevity by cohort in the two periods is conducted specifying a set of hierarchical Bayesian models.

The longevity pattern in Emilia Romagna, Italy: a spatio-temporal analysis

ROLI, GIULIA;MIGLIO, ROSSELLA;RETTAROLI, ROSELLA;SAMOGGIA, ALESSANDRA
2013

Abstract

In this paper, we investigate the pattern of longevity in an Italian region at a municipality level in two different periods. Spatio-temporal modeling is used to tackle at both periods the random variations in the occurrence of long-lived individuals, due to the rareness of such events in small areas. This method allows to exploit the spatial proximity smoothing the observed data, as well as to control for the effects of a set of regressors. As a result, clusters of areas characterized by extreme indexes of longevity are well identified and the temporal evolution of the phenomenon can be depicted. A joint analysis of male and female longevity by cohort in the two periods is conducted specifying a set of hierarchical Bayesian models.
Advances in Theoretical and Applied Statistics - Studies in Theoretical and Applied Statistics
305
405
G. Roli; R. Miglio; R. Rettaroli; A. Samoggia
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/123220
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