Back to Search
Start Over
Distributional Regression Techniques in Socioeconomic Research on the Inequality of Health with an Application on the Relationship between Mental Health and Income.
- Source :
-
International journal of environmental research and public health [Int J Environ Res Public Health] 2019 Oct 19; Vol. 16 (20). Date of Electronic Publication: 2019 Oct 19. - Publication Year :
- 2019
-
Abstract
- This 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.
- Subjects :
- Adolescent
Adult
Age Factors
Aged
Cross-Sectional Studies
Female
Germany epidemiology
Humans
Male
Middle Aged
Regression Analysis
Risk Factors
Socioeconomic Factors
Young Adult
Data Interpretation, Statistical
Health Status Disparities
Income statistics & numerical data
Mental Health statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1660-4601
- Volume :
- 16
- Issue :
- 20
- Database :
- MEDLINE
- Journal :
- International journal of environmental research and public health
- Publication Type :
- Academic Journal
- Accession number :
- 31635091
- Full Text :
- https://doi.org/10.3390/ijerph16204009