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Socioeconomic Health Inequalities: Differences Between and Within Individuals

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  • Parra-Mujica, F.
  • Robson, M.
  • Cookson, R.

Abstract

Research on socioeconomic health inequalities has primarily relied on univariate markers of socioeconomic status (SES), measured at one point in time. Using data from the UKHLS dataset (2009{2020), we build an age-conditional multidimensional SES index for the adult population in the UK. By using a "within-between" model we disentangle the relationship between health outcomes and: i) between-individual differences in SES, and ii) within-individual variations of SES across time. Results show that both are positive and highly significant predictors of physical and mental health. However, we find that these relationships are not linear and that within and between effects interact. While higher levels of SES are always associated with an increase in physical health, for mental health, after some point (SES = 0.613), higher average SES is associated with a score decrease. For an individual with the lowest average SES rank we observe a large and significant effect of a within-individual increase in SES on mental health (8.91) and physical health (1.82), however, this within-effect diminishes for those individuals with higher average SES. Individuals with high expected mobility are also found to have significantly better health scores, particularly for mental health.

Suggested Citation

  • Parra-Mujica, F. & Robson, M. & Cookson, R., 2021. "Socioeconomic Health Inequalities: Differences Between and Within Individuals," Health, Econometrics and Data Group (HEDG) Working Papers 21/15, HEDG, c/o Department of Economics, University of York.
  • Handle: RePEc:yor:hectdg:21/15
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    1. repec:pri:cheawb:case_paxson_economic_status_paper is not listed on IDEAS
    2. Paul Contoyannis & Andrew M. Jones & Nigel Rice, 2004. "The dynamics of health in the British Household Panel Survey," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(4), pages 473-503.
    3. Ettner, Susan L., 1996. "New evidence on the relationship between income and health," Journal of Health Economics, Elsevier, vol. 15(1), pages 67-85, February.
    4. Rasmus Hoffmann & Hannes Kröger & Siegfried Geyer, 2019. "Social Causation Versus Health Selection in the Life Course: Does Their Relative Importance Differ by Dimension of SES?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(3), pages 1341-1367, February.
    5. Davillas, Apostolos & Jones, Andrew M, 2020. "Ex ante inequality of opportunity in health, decomposition and distributional analysis of biomarkers," Journal of Health Economics, Elsevier, vol. 69(C).
    6. Lanlin Ding & Andrew M. Jones & Peng Nie, 2022. "Ex ante Inequality of Opportunity in Health among the Elderly in China: A Distributional Decomposition Analysis of Biomarkers," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(4), pages 922-950, December.
    7. Hoffmann, Rasmus & Kröger, Hannes & Geyer, Siegfried, 2019. "Social Causation Versus Health Selection in the Life Course: Does Their Relative Importance Differ by Dimension of SES?," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 141(3), pages 1341-1367.
    8. Bell, Andrew & Jones, Kelvyn, 2015. "Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data," Political Science Research and Methods, Cambridge University Press, vol. 3(1), pages 133-153, January.
    9. Andrew Bell & Malcolm Fairbrother & Kelvyn Jones, 2019. "Fixed and random effects models: making an informed choice," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(2), pages 1051-1074, March.
    10. Baum II, Charles L. & Ruhm, Christopher J., 2009. "Age, socioeconomic status and obesity growth," Journal of Health Economics, Elsevier, vol. 28(3), pages 635-648, May.
    11. Contoyannis, Paul & Li, Jinhu, 2011. "The evolution of health outcomes from childhood to adolescence," Journal of Health Economics, Elsevier, vol. 30(1), pages 11-32, January.
    12. Davillas, A.; Jones, A.M.; Benzeval, M.;, 2017. "The income-health gradient: Evidence from self-reported health and biomarkers using longitudinal data on income," Health, Econometrics and Data Group (HEDG) Working Papers 17/04, HEDG, c/o Department of Economics, University of York.
    13. Cutler, David M. & Lleras-Muney, Adriana, 2010. "Understanding differences in health behaviors by education," Journal of Health Economics, Elsevier, vol. 29(1), pages 1-28, January.
    14. Joseph L Dieleman & Tara Templin, 2014. "Random-Effects, Fixed-Effects and the within-between Specification for Clustered Data in Observational Health Studies: A Simulation Study," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-17, October.
    15. Nazroo, J.Y., 2003. "The structuring of ethnic inequalities in health: Economic position, racial discrimination, and racism," American Journal of Public Health, American Public Health Association, vol. 93(2), pages 277-284.
    16. Frijters, Paul & Haisken-DeNew, John P. & Shields, Michael A., 2005. "The causal effect of income on health: Evidence from German reunification," Journal of Health Economics, Elsevier, vol. 24(5), pages 997-1017, September.
    17. repec:pri:cheawb:case_paxson_economic_status_paper.pdf is not listed on IDEAS
    18. Foverskov, Else & Holm, Anders, 2016. "Socioeconomic inequality in health in the British household panel: Tests of the social causation, health selection and the indirect selection hypothesis using dynamic fixed effects panel models," Social Science & Medicine, Elsevier, vol. 150(C), pages 172-183.
    19. Jones, Andrew M. & Wildman, John, 2008. "Health, income and relative deprivation: Evidence from the BHPS," Journal of Health Economics, Elsevier, vol. 27(2), pages 308-324, March.
    20. Katharina Hauck & Nigel Rice, 2004. "A longitudinal analysis of mental health mobility in Britain," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 981-1001, October.
    21. Anne Case & Darren Lubotsky & Christina Paxson, 2002. "Economic Status and Health in Childhood: The Origins of the Gradient," American Economic Review, American Economic Association, vol. 92(5), pages 1308-1334, December.
    22. Mundlak, Yair, 1978. "On the Pooling of Time Series and Cross Section Data," Econometrica, Econometric Society, vol. 46(1), pages 69-85, January.
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    More about this item

    Keywords

    health inequality; socioeconomic status; social gradient; Mundlak;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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