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Research Paper HEDG Working Papers 17/04

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

Authors

Publication date

Mar 2017

Summary

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.

Subjects

Medicine, Economics, Health, and Biology

Links

https://ideas.repec.org/p/yor/hectdg/17-04.html


Related publications

  1. The income-health gradient: evidence from self-reported health and biomarkers using longitudinal data on income

    Apostolos Davillas, Andrew M. Jones, and Michaela Benzeval

    1. Medicine
    2. Economics
    3. Health
    4. Biology
  2. The income-health gradient: evidence from self-reported health and biomarkers in Understanding Society

    Apostolos Davillas, Andrew M. Jones, and Michaela Benzeval

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    2. Economics
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