Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/200377
Authors: 
Davillas, Apostolos
Jones, Andrew M.
Year of Publication: 
2018
Series/Report no.: 
ISER Working Paper Series No. 2018-13
Publisher: 
University of Essex, Institute for Social and Economic Research (ISER), Colchester
Abstract: 
We use a set of biomarkers to measure inequality of opportunity (IOp) in health in the UK. Applying a direct ex ante IOp approach, we find that inequalities in health attributed to circumstances account for a non-trivial part of the total health variation. For example, observed circumstances account for 20% of the total inequalities in our composite measure of multi-system health risk, allostatic load. Shapley decompositions show that apart from age and gender, education and childhood socioeconomic status are sources of IOp. We propose an extension to the decomposition of ex ante IOp to complement the mean-based approach, analysing the contribution of circumstances across the quantiles of the biomarker distributions. This shows that, for most of the biomarkers, the percentage contribution of socioeconomic circumstances, relative to differences attributable to age and gender, increases towards the right tail of the biomarker distribution, where health risks are more pronounced.
Subjects: 
equality of opportunity
biomarkers
Shapley decomposition
Oaxaca decomposition
unconditional quantile regression
JEL: 
C1
D63
I12
I14
Document Type: 
Working Paper

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