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The income-health gradient: evidence from self-reported health and biomarkers using longitudinal data on income
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| Titel: | The income-health gradient: evidence from self-reported health and biomarkers using longitudinal data on income/ Apostolos Davillas (Institute for Social and Economic Research, University of Essex), Andrew M. Jones (Department of Economics and Related Studies, University of York Centre for Health Economics, Monash University Department of Economics, University of Bergen), Michaela Benzeval (Institute for Social and Economic Research, University of Essex) |
| Format: | E-Book |
| Sprache: | Englisch |
| veröffentlicht: |
[Colchester]
Institute for Social and Economic Research
March 2017
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| Gesamtaufnahme: |
University of Essex: ISER working paper series ; no. 2017, 03 (March 2017)
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| Schlagwörter: | |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
| Zusammenfassung: | 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. |
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| Umfang: | 1 Online-Ressource (circa 35 Seiten) |