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Partially Ordered Sets and the Measurement of Multidimensional Ordinal Deprivation

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  • Marco Fattore

    (University of Milano-Bicocca)

Abstract

The paper presents a general framework and an operative procedure for the evaluation of multidimensional deprivation with ordinal attributes. Evaluation is addressed in terms of multidimensional comparisons among achievement profiles, rather than through attribute score aggregations. This makes it unnecessary to scale ordinal attributes into numerical variables, overcoming the limitations of aggregative procedures and counting approaches. The evaluation procedure is fuzzy in nature, accounts for both vagueness and intensity of deprivation and produces a comprehensive set of synthetic indicators for policy-makers.

Suggested Citation

  • Marco Fattore, 2016. "Partially Ordered Sets and the Measurement of Multidimensional Ordinal Deprivation," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 835-858, September.
    • Handle: RePEc:spr:soinre:v:128:y:2016:i:2:d:10.1007_s11205-015-1059-6
    DOI: 10.1007/s11205-015-1059-6
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    References listed on IDEAS

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    1. Louis-Marie Asselin & Vu Tuan Anh, 2008. "Multidimensional Poverty and Multiple Correspondence Analysis," Palgrave Macmillan Books, in: Nanak Kakwani & Jacques Silber (ed.), Quantitative Approaches to Multidimensional Poverty Measurement, chapter 5, pages 80-103, Palgrave Macmillan.
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    8. Lars Carlsen & Rainer Bruggemann, 2014. "The ‘Failed State Index’ Offers More than Just a Simple Ranking," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 115(1), pages 525-530, January.
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