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Health and inequality : Some applications of uncertainty theory

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  • Silber, Jacques

Abstract

This paper applies to the Field of Health results of Stochastic Dominance Theory and expressions originally devised for the measurement of Income Inequality. In particular, use is made of Atkinson's inequality measure to compare health levels in England and Wales in the past century. It appears that the 'inequality before death' is less important today than it was in the past, this improvement being parallel to the increase in the average number of years lived (life expectancy). The analysis indicates also that both improvements were greater for women than for men during the period considered.

Suggested Citation

  • Silber, Jacques, 1982. "Health and inequality : Some applications of uncertainty theory," Social Science & Medicine, Elsevier, vol. 16(19), pages 1663-1666, January.
    • Handle: RePEc:eee:socmed:v:16:y:1982:i:19:p:1663-1666
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    Cited by:

    1. Ruth F.G. Williams & D.P. Doessel & Jerneja Sveticic, 2012. "Are there Regional Disparities in Suicide Rates? Quantifying Suicide Rates? Quantifying Suicide Distributions for Queensland, 1990-2007," Working Papers 2012.02, School of Economics, La Trobe University.
    2. Shengelia, Bakhuti & Tandon, Ajay & Adams, Orvill B. & Murray, Christopher J.L., 2005. "Access, utilization, quality, and effective coverage: An integrated conceptual framework and measurement strategy," Social Science & Medicine, Elsevier, vol. 61(1), pages 97-109, July.
    3. Kam Ki Tang & Dennis Petrie & D. S. Prasada Rao, 2009. "Measuring health inequality with realization of potential life years (RePLY)," Health Economics, John Wiley & Sons, Ltd., vol. 18(S1), pages 55-75, April.

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