Inverse relationship between socio-economic status and health has been widely investigated in literature. Focusing on the concept of deprivation, different empirical studies proved the existence of a relationship between it and health conditions, both at individual and territorial level. In this work we propose the application of a non-aggregative methodology, the Partially Ordered Set (poset), for the measurement of deprivation in small areas. In particular, the application considers the Urban Units of the Municipality of Genoa (Italy) and two different systems of indicators, one to measure material deprivation and the other for social deprivation. For each multi-indicators system, three synthetic measures were constructed that provide different information on the units considered: their position in the general order (average height), the ambiguity of their deprivation with respect to a given threshold (identification function) and the intensity of this deprivation (severity function). The results show that material deprivation is associated with higher mortality while social deprivation is not. We believe that the paper can be of twofold use. On the one hand, the application itself is interesting, providing an analysis of deprivation in small areas of the territory of Genoa. On the other hand, it is a useful contribution for policy analysis, presenting a method and the various steps to apply it.

Measuring and evaluating socio-economic inequality in small areas: An application to the urban units of the Municipality of Genoa / Alaimo, LEONARDO SALVATORE; Ivaldi, Enrico; Landi, Stefano; Maggino, Filomena. - In: SOCIO-ECONOMIC PLANNING SCIENCES. - ISSN 0038-0121. - (2021), pp. 1-19. [10.1016/j.seps.2021.101170]

Measuring and evaluating socio-economic inequality in small areas: An application to the urban units of the Municipality of Genoa

Leonardo Alaimo
;
Filomena Maggino
2021

Abstract

Inverse relationship between socio-economic status and health has been widely investigated in literature. Focusing on the concept of deprivation, different empirical studies proved the existence of a relationship between it and health conditions, both at individual and territorial level. In this work we propose the application of a non-aggregative methodology, the Partially Ordered Set (poset), for the measurement of deprivation in small areas. In particular, the application considers the Urban Units of the Municipality of Genoa (Italy) and two different systems of indicators, one to measure material deprivation and the other for social deprivation. For each multi-indicators system, three synthetic measures were constructed that provide different information on the units considered: their position in the general order (average height), the ambiguity of their deprivation with respect to a given threshold (identification function) and the intensity of this deprivation (severity function). The results show that material deprivation is associated with higher mortality while social deprivation is not. We believe that the paper can be of twofold use. On the one hand, the application itself is interesting, providing an analysis of deprivation in small areas of the territory of Genoa. On the other hand, it is a useful contribution for policy analysis, presenting a method and the various steps to apply it.
2021
Health inequalities; Mortality; Material and social deprivation; Urban areas of Genoa; Synthesis of statistical indicators; Partially Ordered Set (POSET)
01 Pubblicazione su rivista::01a Articolo in rivista
Measuring and evaluating socio-economic inequality in small areas: An application to the urban units of the Municipality of Genoa / Alaimo, LEONARDO SALVATORE; Ivaldi, Enrico; Landi, Stefano; Maggino, Filomena. - In: SOCIO-ECONOMIC PLANNING SCIENCES. - ISSN 0038-0121. - (2021), pp. 1-19. [10.1016/j.seps.2021.101170]
File allegati a questo prodotto
File Dimensione Formato  
1-s2.0-S0038012121001622-main.pdf

solo gestori archivio

Tipologia: Documento in Post-print (versione successiva alla peer review e accettata per la pubblicazione)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 9.84 MB
Formato Adobe PDF
9.84 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1581442
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 14
  • ???jsp.display-item.citation.isi??? 7
social impact