IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v54y2002i4p561-576.html
   My bibliography  Save this article

Letting the Gini out of the bottle? Challenges facing the relative income hypothesis

Author

Listed:
  • Ellison, George T. H.

Abstract

The relative income hypothesis interprets statistical associations between income inequality and average health status at the population level, as evidence that income inequality has a deleterious psychosocial effect on individual health. An alternative explanation is that these, population-level associations, are statistical artefacts of curvilinear, individual-level relationships between income and health. Indeed, provided the cost-benefit ratio of health-enhancing goods and services vary, the law of diminishing returns should produce curvilinear, asymptotic relationships between income and health at the individual level, which create ('artefactual') associations between income inequality and health at the population level. However, proponents of the relative income hypothesis have argued that these relationships are unlikely to be responsible for the associations observed between income inequality and average health status amongst high-income populations. In these populations, the individual-level relationships between income and health would be nearer their asymptotes, where a shallower slope should ensure that income inequality has little (if any) 'artefactual' effect on average health status. Yet this argument was based on analyses of population-level data which underestimated the slope and curvilinearity of underlying, individual-level relationships between income and health. It is therefore likely that (at least some part of) the population-level associations between income inequality and average health status (amongst low-, middle- and high-income populations) are 'artefacts' of curvilinear, individual-level relationships between income and health. Nevertheless, it is also possible that income inequality is somehow (partly or wholly) responsible for the curvilinear nature of individual-level relationships between income and health. Likewise, it is possible that income inequality alters the height, slope and/or curvilinearity of these relationships in such a way that income inequality has an independent effect on individual health. In either instance, the 'artefactual' effect of curvilinear relationships between income and health at the individual level would simply reflect the mechanism underlying the relative income hypothesis.

Suggested Citation

  • Ellison, George T. H., 2002. "Letting the Gini out of the bottle? Challenges facing the relative income hypothesis," Social Science & Medicine, Elsevier, vol. 54(4), pages 561-576, February.
    • Handle: RePEc:eee:socmed:v:54:y:2002:i:4:p:561-576
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277-9536(01)00052-1
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Paula K. Lorgelly & Joanne Lindley, 2008. "What is the relationship between income inequality and health? Evidence from the BHPS," Health Economics, John Wiley & Sons, Ltd., vol. 17(2), pages 249-265, February.
    2. Ioana Pop & Erik Ingen & Wim Oorschot, 2013. "Inequality, Wealth and Health: Is Decreasing Income Inequality the Key to Create Healthier Societies?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 113(3), pages 1025-1043, September.
    3. Chen, Zhuo & Gotway Crawford, Carol A., 2012. "The role of geographic scale in testing the income inequality hypothesis as an explanation of health disparities," Social Science & Medicine, Elsevier, vol. 75(6), pages 1022-1031.
    4. IVASKAITE-TAMOSIUNE Viginta & THIEMANN Andreas, 2021. "The budgetary and redistributive impact of pension taxation in the EU: A microsimulation analysis," JRC Working Papers on Taxation & Structural Reforms 2021-08, Joint Research Centre.
    5. Ram, Rati, 2006. "Further examination of the cross-country association between income inequality and population health," Social Science & Medicine, Elsevier, vol. 62(3), pages 779-791, February.
    6. Chen, Zhuo & Meltzer, David, 2008. "Beefing up with the Chans: Evidence for the effects of relative income and income inequality on health from the China Health and Nutrition Survey," Social Science & Medicine, Elsevier, vol. 66(11), pages 2206-2217, June.
    7. Lindley & Lorgelly, 2005. "The relative income hypothesis: does it exist over time? Evidence from the BHPS," Labor and Demography 0510007, University Library of Munich, Germany.
    8. Brian Finch, 2003. "Early origins of the gradient: the relationship between socioeconomic status and infant mortality in the United States," Demography, Springer;Population Association of America (PAA), vol. 40(4), pages 675-699, November.
    9. Babones, Salvatore J., 2008. "Income inequality and population health: Correlation and causality," Social Science & Medicine, Elsevier, vol. 66(7), pages 1614-1626, April.
    10. Salti, Nisreen, 2010. "Relative deprivation and mortality in South Africa," Social Science & Medicine, Elsevier, vol. 70(5), pages 720-728, March.
    11. Wilkinson, Richard G & Pickett, Kate E., 2006. "Income inequality and population health: A review and explanation of the evidence," Social Science & Medicine, Elsevier, vol. 62(7), pages 1768-1784, April.
    12. Ioana van Deurzen & Wim van Oorschot & Erik van Ingen, 2014. "The Link between Inequality and Population Health in Low and Middle Income Countries: Policy Myth or Social Reality?," PLOS ONE, Public Library of Science, vol. 9(12), pages 1-22, December.
    13. Sun, Tao & Zhang, Hongwei & Wang, Yuan & Meng, Xiangming & Wang, Chenwan, 2010. "The application of environmental Gini coefficient (EGC) in allocating wastewater discharge permit: The case study of watershed total mass control in Tianjin, China," Resources, Conservation & Recycling, Elsevier, vol. 54(9), pages 601-608.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:54:y:2002:i:4:p:561-576. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.