Income, income inequality and health: what can we learn from aggregate data?

H. Gravelle, J. Wildman, Matthew Adam Sutton

    Research output: Contribution to journalArticle

    105 Citations (Scopus)

    Abstract

    It has been suggested that, especially in countries with high per capita income, there is an independent effect of income distribution on the health of individuals. One source of evidence in support of this relative income hypothesis is the analysis of aggregate cross-section data on population health, per capita income and income inequality. We examine the empirical robustness of cross-section analyses by using a new data set to replicate and extend the methodology in a frequently cited paper. The estimated relationship between income inequality and population health is not significant in any of our estimated models. We also argue there are serious conceptual difficulties in using aggregate cross-sections as a means of testing hypotheses about the effect of income, and its distribution, on the health of individuals. (C) 2002 Elsevier Science Ltd. All rights reserved.

    Original languageEnglish
    Pages (from-to)577-589
    Number of pages12
    JournalSocial Science & Medicine
    Volume54
    Issue number4
    DOIs
    Publication statusPublished - Feb 2002

    Keywords

    • income
    • income inequality
    • health
    • relative income
    • UNITED-STATES
    • CHANGING RELATION
    • MORTALITY
    • REGRESSION
    • SET

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