The Income-Health Gradient: Evidence From Self-Reported Health and Biomarkers in Understanding Society

Davillas, Apostolos, Jones, Andrew M. and Benzeval, Michaela (2019) The Income-Health Gradient: Evidence From Self-Reported Health and Biomarkers in Understanding Society. In: Panel Data Econometrics. Elsevier, pp. 709-741. ISBN 978-0-12-815859-3

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Abstract

This chapter adds to the literature about 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. 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 long-run and the short-run income gradients are more evident toward the right tails of the distributions, where both higher risk of illnesses and steeper income gradients are observed.

Item Type:	Book Section
Faculty \ School:	Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Groups > Health Economics Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023)
Depositing User:	LivePure Connector
Date Deposited:	04 Feb 2020 06:22
Last Modified:	23 Apr 2023 01:46
URI:	https://ueaeprints.uea.ac.uk/id/eprint/73975
DOI:	10.1016/B978-0-12-815859-3.00022-6

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