Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/163546
Authors: 
Davillas, Apostolos
Jones, Andrew M.
Benzeval, Michaela
Year of Publication: 
2017
Series/Report no.: 
ISER Working Paper Series No. 2017-03
Publisher: 
University of Essex, Institute for Social and Economic Research (ISER), Colchester
Abstract: 
This paper adds to the literature on the income-health gradient by exploring the association of short- and long-term income with a wide set of self-reported health measures and objective nurse-administered and blood-based biomarkers as well as employing estimation techniques that allow for analysis 'beyond the mean' and accounting for unobserved heterogeneity. The income-health gradients are greater in magnitude in case of long-run rather than cross- sectional income measures. Unconditional quantile regressions reveal that the differences between the long-run and the short-run income gradients are more evident towards the right tails of the distributions, where both higher risk of illnesses and steeper income gradients are observed. A two-step estimator, involving a fixed-effects income model at the first stage, shows that the individual-specific selection effects have a systematic impact in the long-run income gradients in self-reported health but not in biomarkers, highlighting the importance of reporting error in self-reported health.
Subjects: 
biomarkers
health inequalities
panel data
understanding society
JEL: 
C1
C5
I14
Document Type: 
Working Paper

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