Maximum Inequality: The Case of Categorical Data

Frank A. Cowell and Emmanuel Flachaire

A chapter in Research on Economic Inequality: Poverty, Inequality and Shocks, 2021, vol. 29, pp 95-103 from Emerald Group Publishing Limited

Abstract: In the case of ordered categorical data, the concepts of minimum and maximum inequality are not straightforward. In this chapter, the authors consider the Cowell and Flachaire (2017) indices of inequality. The authors show that the minimum and maximum inequality depend on preliminary choices made before using these indices, on status and the sensitivity parameter. Specifically, maximum inequality can be given by the distribution which is the most concentrated in the top or bottom category, or by the uniform distribution.

Keywords: inequality; ordinal data; World Values Survey; maximum; minimum; uniform distribution; D63 (search for similar items in EconPapers)
Date: 2021
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Working Paper: Maximum Inequality: The Case of Categorical Data (2021)
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Persistent link: https://EconPapers.repec.org/RePEc:eme:reinzz:s1049-258520210000029006

DOI: 10.1108/S1049-258520210000029006

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