Literature DB >> 11858212

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

George T H Ellison1.   

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.

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Year:  2002        PMID: 11858212     DOI: 10.1016/s0277-9536(01)00052-1

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  17 in total

1.  Early origins of the gradient: the relationship between socioeconomic status and infant mortality in the United States.

Authors:  Brian Karl Finch
Journal:  Demography       Date:  2003-11

2.  Income inequality, household income, and health status in Canada: a prospective cohort study.

Authors:  Christopher B McLeod; John N Lavis; Cameron A Mustard; Greg L Stoddart
Journal:  Am J Public Health       Date:  2003-08       Impact factor: 9.308

Review 3.  Is income inequality a determinant of population health? Part 1. A systematic review.

Authors:  John Lynch; George Davey Smith; Sam Harper; Marianne Hillemeier; Nancy Ross; George A Kaplan; Michael Wolfson
Journal:  Milbank Q       Date:  2004       Impact factor: 4.911

Review 4.  Income inequality measures.

Authors:  Fernando G De Maio
Journal:  J Epidemiol Community Health       Date:  2007-10       Impact factor: 3.710

5.  Country material distribution and adolescents' perceived health: multilevel study of adolescents in 27 countries.

Authors:  Torbjorn Torsheim; Candace Currie; Will Boyce; Oddrun Samdal
Journal:  J Epidemiol Community Health       Date:  2006-02       Impact factor: 3.710

6.  Neighborhood Environments, SNAP-Ed Eligibility, and Health Behaviors: An Analysis of the California Health Interview Survey (CHIS).

Authors:  Jonathan Cantor; Deborah A Cohen; Julia Caldwell; Tony Kuo
Journal:  J Urban Health       Date:  2020-08       Impact factor: 3.671

7.  Tract- and county-level income inequality and individual risk of obesity in the United States.

Authors:  Jessie X Fan; Ming Wen; Lori Kowaleski-Jones
Journal:  Soc Sci Res       Date:  2015-10-03

8.  Income inequality widens the existing income-related disparity in depression risk in post-apartheid South Africa: Evidence from a nationally representative panel study.

Authors:  Jonathan K Burns; Andrew Tomita; Crick Lund
Journal:  Health Place       Date:  2017-02-24       Impact factor: 4.078

9.  Self-reported health in high and very high incomes.

Authors:  Georgios D Mantzavinis; Thomas A Trikalinos; Ioannis D K Dimoliatis; John P A Ioannidis
Journal:  Qual Life Res       Date:  2006-04       Impact factor: 4.147

10.  Upstream solutions: does the supplemental security income program reduce disability in the elderly?

Authors:  Pamela Herd; Robert F Schoeni; James S House
Journal:  Milbank Q       Date:  2008-03       Impact factor: 4.911

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