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Measuring inequality with ordinal data: a note

In: Inequality and Opportunity: Papers from the Second ECINEQ Society Meeting

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  • Buhong Zheng

Abstract

This note formally investigates the applicability of stochastic dominance (Lorenz dominance) to ordinal data such as self-reported health status. We confirm that for ordinal data distributions, stochastic dominance has limited applicability in ranking social welfare, while it has no applicability in ranking inequality.

Suggested Citation

  • Buhong Zheng, 2008. "Measuring inequality with ordinal data: a note," Research on Economic Inequality, in: Inequality and Opportunity: Papers from the Second ECINEQ Society Meeting, pages 177-188, Emerald Group Publishing Limited.
    • Handle: RePEc:eme:reinzz:s1049-2585(08)16008-2
    DOI: 10.1016/S1049-2585(08)16008-2
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