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Cause of Death, Income Distribution and Problems of Response Rates

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  • Sandra McIsaac
  • Richard Wilkinson

Abstract

The aim of this paper is to identify the age-, sex- and cause-specific premature mortality rates contributing to the association between life expectancy and income distribution in developed countries. On finding evidence suggesting that reported income distribution is strongly affected by low response rates in some surveys, the authors used two measures of income distribution: that among households where the household head was aged less than 65 and among households with children. Both measures of income distribution showed broadly similar results. A more egalitarian distribution of income was related to lower all-cause mortality rates in both sexes in most age groups. Income distribution was associated not only with larger absolute changes in mortality from these causes, but also with larger proportionate changes.

Suggested Citation

  • Sandra McIsaac & Richard Wilkinson, 1995. "Cause of Death, Income Distribution and Problems of Response Rates," LIS Working papers 136, LIS Cross-National Data Center in Luxembourg.
    • Handle: RePEc:lis:liswps:136
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    File URL: http://www.lisdatacenter.org/wps/liswps/136.pdf
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    References listed on IDEAS

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    1. Robert J. Waldmann, 1992. "Income Distribution and Infant Mortality," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(4), pages 1283-1302.
    2. Siegrist, Johannes & Peter, Richard & Junge, Astrid & Cremer, Peter & Seidel, Dieter, 1990. "Low status control, high effort at work and ischemic heart disease: Prospective evidence from blue-collar men," Social Science & Medicine, Elsevier, vol. 31(10), pages 1127-1134, January.
    3. Brigitte Buhmann & Lee Rainwater & Guenther Schmaus & Timothy M. Smeeding, 1988. "Equivalence Scales, Well‐Being, Inequality, And Poverty: Sensitivity Estimates Across Ten Countries Using The Luxembourg Income Study (Lis) Database," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 34(2), pages 115-142, June.
    4. Buhmann, Brigitte, et al, 1988. "Equivalence Scales, Well-Being, Inequality, and Poverty: Sensitivity Estimates across Ten Countries Using the Luxembourg Income Study (LIS) Database," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 34(2), pages 115-142, June.
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    Cited by:

    1. David Jesuit & Douglas Roscoe & Vincent Mahler, 1997. "Exploring the Impact of Trade and Investment on Income Inequality: A Cross-National Sectoral Analysis of the Developed Market Economy Countries," LIS Working papers 159, LIS Cross-National Data Center in Luxembourg.
    2. Cristina Blanco Pérez & Xavier Ramos, 2010. "Polarization And Health," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 56(1), pages 171-185, March.

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