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Ambiguity, Comparability, Segmentation and All That

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Multilateral Wellbeing Comparison in a Many Dimensioned World

Part of the book series: Global Perspectives on Wealth and Distribution ((GPWD))

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Abstract

This chapter considers in detail the issue of ambiguity associated with a collection of indicators. By considering the circumstances under which an ordering would be unambiguous, it develops measures of the extent to which a collection of indicators could be ambiguous in a given situation. A methodology for dividing a collection of distributions into sets of “unambiguous subgroups” is also proposed. This chapter ends with an empirical example of ambiguity in ordering the income distributions of nations in the Eurozone.

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Notes

  1. 1.

    It is interesting to note that the Gini coefficient is subgroup decomposable under perfect segmentation of subgroups Mookherjee and Shorrocks (1982).

  2. 2.

    A multi distributional higher order extension of the Gini (1916) Transvariation measure, see Anderson, Linton, and Thomas (2017), Anderson, Linton, and Whang (2019).

  3. 3.

    The Gini coefficient is due to Gini (1912); the Absolute Gini is due to Hey and Lambert (1980).

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Anderson, G. (2019). Ambiguity, Comparability, Segmentation and All That. In: Multilateral Wellbeing Comparison in a Many Dimensioned World. Global Perspectives on Wealth and Distribution. Palgrave Macmillan, Cham. https://doi.org/10.1007/978-3-030-21130-1_6

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  • DOI: https://doi.org/10.1007/978-3-030-21130-1_6

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  • Publisher Name: Palgrave Macmillan, Cham

  • Print ISBN: 978-3-030-21129-5

  • Online ISBN: 978-3-030-21130-1

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