Allowing for heterogeneity in the decomposition of measures of inequality in health

This paper shows how recently developed regression-based methods for the decomposition of health inequality can be extended to incorporate heterogeneity in the responses of health to the explanatory variables. We illustrate our method with an application to the GHQ measure of psychological well-bein...

ver descrição completa

Detalhes bibliográficos
Autores: Jones, Andrew M., López Nicolás, Ángel
Formato: artículo
Fecha de publicación:2006
País:España
Recursos:Universidad Politécnica de Cartagena(UPCT)
Repositorio:Repositorio Digital UPCT
OAI Identifier:oai:repositorio.upct.es:10317/1182
Acesso em linha:http://hdl.handle.net/10317/1182
Access Level:acceso abierto
Palavra-chave:Análisis de descomposición
Desigualdades en salud
Heterogeneidad
Datos de panel
Decomposition analysis
Health inequalities
Heterogeneity
Panel data
Economía Aplicada
id ES_2acff6fe6a8f855fbde47c8466ec168d
oai_identifier_str oai:repositorio.upct.es:10317/1182
network_acronym_str ES
network_name_str España
repository_id_str
spelling Allowing for heterogeneity in the decomposition of measures of inequality in healthJones, Andrew M.López Nicolás, ÁngelAnálisis de descomposiciónDesigualdades en saludHeterogeneidadDatos de panelDecomposition analysisHealth inequalitiesHeterogeneityPanel dataEconomía AplicadaThis paper shows how recently developed regression-based methods for the decomposition of health inequality can be extended to incorporate heterogeneity in the responses of health to the explanatory variables. We illustrate our method with an application to the GHQ measure of psychological well-being taken from the British Household Panel Survey. The results suggest that there is an important degree of heterogeneity in the association of health to explanatory variables across birth cohorts and genders which, in turn, accounts for a substantial percentage of the inequality in observed health.This chapter derives from the project “The dynamics of income, health and inequality over the lifecycle” (known as the ECuity III Project), which is funded in part by the European Community’s Quality of Life and Management of Living Resources programme (contract QLK6-CT-2002-02297) and the project “La dinámica del estado de salud y los factores socieconómicos a lo largo del ciclo vital. Implicaciones para las políticas públicas”, which is supported by the Fundación BBVA. We are grateful to the EC and to the Fundación BBVA and the Spanish Ministry of Education (projects BEC2002-04294-C02-02 and SEJ2005-09104-C02-02) for financial support.Springer NetherlandsGrupo de I+D en Economía, Políticas Públicas y Salud200920092006info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttp://hdl.handle.net/10317/1182reponame:Repositorio Digital UPCTinstname:Universidad Politécnica de Cartagena(UPCT)Ingléshttp://www.springerlink.com/content/v4073h09757055l2/fulltext.pdf--The original publication is available at www.springerlink.cominfo:eu-repo/semantics/openAccessoai:repositorio.upct.es:10317/11822026-05-15T06:39:02Z
dc.title.none.fl_str_mv Allowing for heterogeneity in the decomposition of measures of inequality in health
title Allowing for heterogeneity in the decomposition of measures of inequality in health
spellingShingle Allowing for heterogeneity in the decomposition of measures of inequality in health
Jones, Andrew M.
Análisis de descomposición
Desigualdades en salud
Heterogeneidad
Datos de panel
Decomposition analysis
Health inequalities
Heterogeneity
Panel data
Economía Aplicada
title_short Allowing for heterogeneity in the decomposition of measures of inequality in health
title_full Allowing for heterogeneity in the decomposition of measures of inequality in health
title_fullStr Allowing for heterogeneity in the decomposition of measures of inequality in health
title_full_unstemmed Allowing for heterogeneity in the decomposition of measures of inequality in health
title_sort Allowing for heterogeneity in the decomposition of measures of inequality in health
dc.creator.none.fl_str_mv Jones, Andrew M.
López Nicolás, Ángel
author Jones, Andrew M.
author_facet Jones, Andrew M.
López Nicolás, Ángel
author_role author
author2 López Nicolás, Ángel
author2_role author
dc.contributor.none.fl_str_mv Grupo de I+D en Economía, Políticas Públicas y Salud
dc.subject.none.fl_str_mv Análisis de descomposición
Desigualdades en salud
Heterogeneidad
Datos de panel
Decomposition analysis
Health inequalities
Heterogeneity
Panel data
Economía Aplicada
topic Análisis de descomposición
Desigualdades en salud
Heterogeneidad
Datos de panel
Decomposition analysis
Health inequalities
Heterogeneity
Panel data
Economía Aplicada
description This paper shows how recently developed regression-based methods for the decomposition of health inequality can be extended to incorporate heterogeneity in the responses of health to the explanatory variables. We illustrate our method with an application to the GHQ measure of psychological well-being taken from the British Household Panel Survey. The results suggest that there is an important degree of heterogeneity in the association of health to explanatory variables across birth cohorts and genders which, in turn, accounts for a substantial percentage of the inequality in observed health.
publishDate 2006
dc.date.none.fl_str_mv 2006
2009
2009
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10317/1182
url http://hdl.handle.net/10317/1182
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Springer Netherlands
publisher.none.fl_str_mv Springer Netherlands
dc.source.none.fl_str_mv reponame:Repositorio Digital UPCT
instname:Universidad Politécnica de Cartagena(UPCT)
instname_str Universidad Politécnica de Cartagena(UPCT)
reponame_str Repositorio Digital UPCT
collection Repositorio Digital UPCT
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869405096053309440
score 15,811543