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Using Ordinal Variables to Measure Multidimensional Poverty in Two South Mediterranean Countries

Author

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  • Valérie Bérenger

    (University of Nice Sophia Antipolis, France
    GREDEG CNRS)

Abstract

The main goal of this paper is to highlight the empirical contribution of methodological refinements to "counting approach" poverty measures, and to use ordinal variables as a means of understanding multidimensional poverty in two South Mediterranean countries, namely Egypt and Jordan. The paper relies on the general framework proposed by Silber and Yalonetsky (2013) to compare multidimensional poverty measures, such as the measure based on the Alkire and Foster approach (2011) and applied by UNDP in the construction of the MPI, and others that are sensitive to the distribution of deprivation counts for individuals, such as the family of poverty measures introduced by Chakravarty and D’Ambrosio (2006) and Rippin (2010), and those based on the extension of the Aaberge and Peluso approach as suggested by Silber and Yalonetzky (2013). The findings we obtained make it possible to highlight the complementarities between the various poverty measures. These complementarities prove to be particularly useful for analyzing poverty trends per country and also per area of residence.

Suggested Citation

  • Valérie Bérenger, 2014. "Using Ordinal Variables to Measure Multidimensional Poverty in Two South Mediterranean Countries," GREDEG Working Papers 2014-49, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    • Handle: RePEc:gre:wpaper:2014-49
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    References listed on IDEAS

    as
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    3. Suman Seth, Sabina Alkire, 2014. "Measuring and Decomposing Inequality among the Multidimensionally Poor Using Ordinal Data: A Counting Approach," OPHI Working Papers 68, Queen Elizabeth House, University of Oxford.
    4. Satya R. Chakravarty & Conchita D’Ambrosio, 2019. "The Measurement of Social Exclusion," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 167-189, Springer.
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    6. Walter Bossert & Satya R. Chakravarty & Conchita D’Ambrosio, 2019. "Multidimensional Poverty and Material Deprivation with Discrete Data," Themes in Economics, in: Satya R. Chakravarty (ed.), Poverty, Social Exclusion and Stochastic Dominance, pages 191-209, Springer.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    counting approach; multidimensional poverty measurement; Egypt; Jordan; Mena;
    All these keywords.

    JEL classification:

    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement

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