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Measuring the Inequality of Bounded Distributions: A Joint Analysis of Attainments and Shortfalls

Oihana Aristondo and Casilda Lasso de la Vega

A chapter in Health and Inequality, 2013, vol. 21, pp 33-52 from Emerald Group Publishing Limited

Abstract: When health is measured by a bounded variable, differences in health can be presented as levels of attainment or shortfall. Measurement of heath inequality then usually involves the choice of either the attainment or the shortfall distribution, and this choice may affect comparisons of inequality across populations. A number of indices have been introduced to overcome this problem. This chapter proposes a framework in which attainment and shortfall distributions can be jointly analyzed. Joint distributions of attainments and shortfalls are defined from points of view consistent with concerns for relative, absolute or intermediate inequality. Inequality measures invariant according to the corresponding ethical criterion are then applied. A dominance criterion that guarantees unanimous rankings of the joint distributions is also proposed.

Keywords: Inequality measurement; health inequality; bounded variables; Lorenz curves; I30; D63 (search for similar items in EconPapers)
Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:eme:reinzz:s1049-2585(2013)0000021003

DOI: 10.1108/S1049-2585(2013)0000021003

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