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|a The income-health gradient
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|a 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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Davillas, Apostolos, Jones, Andrew M., Benzeval, Michaela |
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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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Davillas, Apostolos VerfasserIn aut, 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), [Colchester] Institute for Social and Economic Research March 2017, 1 Online-Ressource (circa 35 Seiten), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, ISER working paper series no. 2017, 03 (March 2017), 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., Arbeitspapier DE-206, Online-Publikation DE-206, Jones, Andrew M. 1960- VerfasserIn (DE-588)128792817 (DE-627)380635496 (DE-576)297335952 aut, Benzeval, Michaela VerfasserIn (DE-588)170870278 (DE-627)06101351X (DE-576)131715186 aut, University of Essex Institute for Social and Economic Research ISER working paper series no. 2017, 03 (March 2017) 20170300 (DE-627)57103036X (DE-576)28386902X (DE-600)2435055-2, http://hdl.handle.net/10419/163546 Resolving-System kostenfrei Volltext, https://www.iser.essex.ac.uk/research/publications/working-papers/iser/2017-03 Verlag kostenfrei Volltext, https://www.iser.essex.ac.uk/research/publications/working-papers/iser/2017-03 LFER, LFER 2019-07-22T00:00:00Z |
spellingShingle |
Davillas, Apostolos, Jones, Andrew M., Benzeval, Michaela, The income-health gradient: evidence from self-reported health and biomarkers using longitudinal data on income, University of Essex, Institute for Social and Economic Research, ISER working paper series, no. 2017, 03 (March 2017), 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., Arbeitspapier, Online-Publikation |
swb_id_str |
9882322115 |
title |
The income-health gradient: evidence from self-reported health and biomarkers using longitudinal data on income |
title_auth |
The income-health gradient evidence from self-reported health and biomarkers using longitudinal data on income |
title_full |
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) |
title_fullStr |
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) |
title_full_unstemmed |
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) |
title_in_hierarchy |
no. 2017, 03 (March 2017). The income-health gradient: evidence from self-reported health and biomarkers using longitudinal data on income (March 2017) |
title_short |
The income-health gradient |
title_sort |
income health gradient evidence from self reported health and biomarkers using longitudinal data on income |
title_sub |
evidence from self-reported health and biomarkers using longitudinal data on income |
topic |
Arbeitspapier, Online-Publikation |
topic_facet |
Arbeitspapier, Online-Publikation |
url |
http://hdl.handle.net/10419/163546, https://www.iser.essex.ac.uk/research/publications/working-papers/iser/2017-03 |