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Distributional Regression Techniques in Socioeconomic Research on the Inequality of Health with an Application on the Relationship between Mental Health and Income

dc.contributor.authorSilbersdorff, Alexander
dc.contributor.authorSchneider, Kai Sebastian
dc.date.accessioned2019-12-11T11:22:54Z
dc.date.available2019-12-11T11:22:54Z
dc.date.issued2019de
dc.identifier.ISBN31635091
dc.relation.ISSN1660-4601de
dc.identifier.urihttp://resolver.sub.uni-goettingen.de/purl?gs-1/16915
dc.description.abstractThis study addresses the much-discussed issue of the relationship between health and income. In particular, it focuses on the relation between mental health and household income by using generalized additive models of location, scale and shape and thus employing a distributional perspective. Furthermore, this study aims to give guidelines to applied researchers interested in taking a distributional perspective on health inequalities. In our analysis we use cross-sectional data of the German socioeconomic Panel (SOEP). We find that when not only looking at the expected mental health score of an individual but also at other distributional aspects, like the risk of moderate and severe mental illness, that the relationship between income and mental health is much more pronounced. We thus show that taking a distributional perspective, can add to and indeed enrich the mostly mean-based assessment of existent health inequalities.de
dc.language.isoengde
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectdistributional regression; generalized additive models of location scale and shape; health inequality; income; inequality measurement; mental health; regression; socioeconomic inequality of healthde
dc.subject.ddc330
dc.titleDistributional Regression Techniques in Socioeconomic Research on the Inequality of Health with an Application on the Relationship between Mental Health and Incomede
dc.typejournalArticlede
dc.identifier.doi10.3390/ijerph16204009
dc.type.versionpublishedVersionde
dc.relation.eISSN1660-4601
dc.bibliographicCitation.volume16de
dc.bibliographicCitation.issue20de
dc.type.subtypejournalArticle
dc.bibliographicCitation.articlenumber4009de
dc.description.statuspeerReviewedde
dc.bibliographicCitation.journalInternational Journal of Environmental Research and Public Healthde


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