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The income-health gradient: evidence from self-reported health and biomarkers using longitudinal data on income
| Content Provider | Semantic Scholar |
|---|---|
| Author | Davillas, Apostolos Jones, Andrew M. Benzeval, Michaela |
| Copyright Year | 2017 |
| 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. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://www.iser.essex.ac.uk/research/publications/working-papers/iser/2017-03.pdf |
| Alternate Webpage(s) | https://www.econstor.eu/bitstream/10419/163546/1/882322117.pdf |
| Alternate Webpage(s) | https://www.york.ac.uk/media/economics/documents/hedg/workingpapers/1704.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
