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Income inequality and population health: a panel data analysis on 21 developed countries

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Author Info

  • Roberta Torre

    (Max Planck Institute for Demographic Research, Rostock, Germany)

  • Mikko Myrskyl√§

    (Max Planck Institute for Demographic Research, Rostock, Germany)

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    Abstract

    The relative income-health hypothesis postulates that income distribution is one of the key determinants of population health. The discussion on the age and gender patterns of this association is still open. We test the relative income-health hypothesis using a panel data covering 21 developed countries for over 30 years. We find that net of trends in GDP per head and unobserved period and country factors, income inequality, measured by the Gini index, is strongly and positively associated with male and female mortality up to age 15. For women the association vanishes at older ages, but for men persists up to age 50. These findings suggest that policies decreasing income inequality may improve the health of children and young- to middle-aged men. The mechanisms behind the income inequality-mortality association are not known, but may be related to parental stress and male competition. Future research could focus on unravelling these mechanisms

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    File URL: http://www.demogr.mpg.de/en/projects_publications/publications_1904/journal_articles/income_inequality_and_population_health_a_panel_data_analysis_on_21_developed_countries_4693.htm
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    Bibliographic Info

    Paper provided by Max Planck Institute for Demographic Research, Rostock, Germany in its series MPIDR Working Papers with number WP-2011-006.

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    Length: 34 pages
    Date of creation: Feb 2011
    Date of revision:
    Handle: RePEc:dem:wpaper:wp-2011-006

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    Web page: http://www.demogr.mpg.de/

    Related research

    Keywords: OECD countries; income distribution; mortality; panmixia;

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    Cited by:
    1. Brandt, Martina & Deindl, Christian & Hank, Karsten, 2012. "Tracing the origins of successful aging: The role of childhood conditions and social inequality in explaining later life health," Social Science & Medicine, Elsevier, Elsevier, vol. 74(9), pages 1418-1425.

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