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The income-health gradient: Evidence from self-reported health and biomarkers using longitudinal data on income

Davillas, A.; Jones, A.M.; Benzeval, M.;
Authors registered in the RePEc Author Service: Apostolos Davillas () and Andrew Michael Jones ()

Health, Econometrics and Data Group (HEDG) Working Papers from HEDG, c/o Department of Economics, University of York

Abstract: This paper adds to the literature on the income-health gradient by exploring the association between short- and long-term income and 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 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.

Keywords: biomarkers; health inequalities; panel data; Understanding Society (search for similar items in EconPapers)
JEL-codes: C1 C5 I14 (search for similar items in EconPapers)
Date: 2017-03
New Economics Papers: this item is included in nep-hea
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Working Paper: The income-health gradient: evidence from self-reported health and biomarkers using longitudinal data on income (2017) Downloads
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