Decomposing Socioeconomic Inequality of Health
Guido Erreygers (),
Linkun Chen and
No 9574, EcoMod2016 from EcoMod
We consider three different types of decomposition analysis: decomposition by health components, decomposition by subgroups, and regression-based decomposition. We show that level-dependent indices perform better than rank-dependent indices. We explore different approaches to decompose or explain socioeconomic inequality of health. The first looks at the contributions of components of health, the second aims to split inequality into between- and within-group inequality, and the third uses regression techniques. Our paper compares the decomposition properties of both rank-dependent and level-dependent indices of socioeconomic inequality of health. As far as decomposition by components and regression-based decomposition is concerned, there are no essential differences between the types of indices. When it comes to decomposition by population subgroups, however, level-dependent indices are clearly superior. The fact that the basic level-dependent index can be decomposed perfectly into a 'within' and a 'between' component, and the extended level-dependent index nearly so, constitutes a strong argument in favour of using these indices alongside, and maybe even instead of, the still dominant rank-dependent indices.
Keywords: Australia; Miscellaneous; Modeling: new developments (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-hea
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://ecomod.net/system/files/Decomposing%20Socio ... y%20-%2020151221.pdf
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:ekd:009007:9574
Access Statistics for this paper
More papers in EcoMod2016 from EcoMod Contact information at EDIRC.
Bibliographic data for series maintained by Theresa Leary ().