Davillas, Apostolos and Jones, Andrew and Benzeval, Michaela (2019) 'The income-health gradient: Evidence from self-reported health and biomarkers in Understanding Society.' In: Tsionas, Mike, (ed.) Panel Data Econometrics Empirical Applications. Elsevier/Academic Press. ISBN 9780128158593
Full text not available from this repository.Abstract
This chapter 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”. 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.
Item Type: | Book Section |
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Uncontrolled Keywords: | Biomarkers, Health inequalities, Quantile regression, Long-run income, Understanding Society: the UK Household Longitudinal Study |
Subjects: | H Social Sciences > H Social Sciences (General) R Medicine > R Medicine (General) |
Divisions: | Faculty of Social Sciences > Institute for Social and Economic Research |
Depositing User: | Elements |
Date Deposited: | 01 Jul 2019 11:58 |
Last Modified: | 01 Jul 2019 11:58 |
URI: | http://repository.essex.ac.uk/id/eprint/22153 |
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