Afficher la notice abrégée

dc.contributor.authorJusot, Florence
dc.contributor.authorSermet, Catherine
dc.contributor.authorDevaux, Marion
dc.contributor.authorTubeuf, Sandy
dc.date.accessioned2011-09-26T08:52:03Z
dc.date.available2011-09-26T08:52:03Z
dc.date.issued2008-06
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/7004
dc.language.isoenen
dc.subjectstructural equationsen
dc.subjectreporting biasen
dc.subjectMIMICen
dc.subjectInequalities in healthen
dc.subject.ddc334en
dc.subject.classificationjelC51en
dc.subject.classificationjelI10en
dc.titleSocial heterogeneity in self-reported health status and measurement of inequalities in healthen
dc.typeDocument de travail / Working paper
dc.contributor.editoruniversityotherInstitute of Health Sciences, Academic Unit of Health Economics;Royaume-Uni
dc.description.abstractenThis study aims to analyse the impact of the measurement of health status on socioeconomic inequalities in health. A MIMIC model with structural equations is used to create a latent variable of health status from four health indicators : self-assessed health, report of chronic diseases, report of activity limitations and mental health. Then, we disentangle the impact of sociodemographic characteristics on latent health from their direct impact on each heath indicator and discuss their effects on the assessment of socioeconomic inequalities in health. This study emphasises differences in inequalities in health according to latent health. In addition, it suggests the existence of reporting heterogeneity biases. For a given latent health status, women and old people are more likely to report chronic diseases. Mental health problems are over-reported by women and isolated people and under-reported by the oldest people. Active and retired people as well as non manual workers in the top of the social hierarchy more often report activity limitations. Finally, highly educated and socially advantaged people more often report chronic diseases whereas less educated people under- report a poor self-assessed health. To conclude, the four health indicators suffer from reporting heterogeneity biases and the report of chronic diseases is the indicator which biases the most the measurement of socioeconomic inequalities in health.en
dc.publisher.nameIRDES
dc.publisher.cityParis
dc.identifier.citationpages26en
dc.relation.ispartofseriestitleDocument de travail - IRDESen
dc.relation.ispartofseriesnumber12en
dc.description.sponsorshipprivateouien
dc.subject.ddclabelEconomie socialeen


Fichiers attachés à cette notice

Thumbnail

Ce document fait partie de la (des) collection(s) suivante(s)

Afficher la notice abrégée