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Using ordinal variables to measure multidimensional poverty in Egypt and Jordan

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  • Valérie Bérenger

    (University of Toulon)

Abstract

This paper examines the empirical relevance of recent methodological refinements to the “counting approach” to multidimensional poverty measurement. It provides an empirical illustration based on data available in the Demographic and Health Surveys of Egypt and Jordan. The paper relies on the general framework proposed by Silber and Yalonetzky (2013) to compare multidimensional poverty measures, such as the Multidimensional Poverty Index (MPI) and others that are sensitive to the distribution of deprivation counts among individuals. It thus computes the measures introduced by Chakravarty and D’Ambrosio, 2006 and Rippin (2010) as well as indices based on the extension of the Aaberge and Peluso (2012), suggested by Silber and Yalonetzky (2013). It appears that it is useful to consider several multidimensional poverty measures when analyzing national poverty trends and when making a distinction between urban and rural areas.

Suggested Citation

  • Valérie Bérenger, 2017. "Using ordinal variables to measure multidimensional poverty in Egypt and Jordan," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 15(2), pages 143-173, June.
    • Handle: RePEc:kap:jecinq:v:15:y:2017:i:2:d:10.1007_s10888-017-9349-7
    DOI: 10.1007/s10888-017-9349-7
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    References listed on IDEAS

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    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.
    5. 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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    Cited by:

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    2. Tomson Ogwang, 2022. "The regression approach to the measurement and decomposition of the multidimensional Watts poverty index," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 20(4), pages 951-973, December.

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