A new methodology for multidimensional poverty measurement based on the capability approach

Vivien Kana-Zeumo, Alexis Tsoukiàs () and Blaise Somé
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Vivien Kana-Zeumo: LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique
Alexis Tsoukiàs: LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique
Blaise Somé: LANIBIO - Laboratoire d'Analyse Numérique Informatique et Biomathématiques - UJZK - Université Joseph Ki-Zerbo de Ouagadougou = University of Ouagadougou

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Abstract: We propose a methodology based on the use of clustering techniques derived from data analysis and multi-attribute decision analysis methods aiming at purposeful multidimensional poverty measurement. Our contribution to methodological knowledge insists on the necessity to build "meaningful measurements" for policy making and policy implementation. Our standpoint underlines the necessity to consider the problem of poverty measurement as a decision problem and to tackle its measurement issue with that in mind. We also show that such an exercise can be useful to develop a better operational definition of poverty and to solve the aggregation issues.

Keywords: Capabilities approach; Policy making; Meaningful measurement; Decision aiding (search for similar items in EconPapers)
Date: 2014
Note: View the original document on HAL open archive server: https://hal.science/hal-01510900v2
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Citations: View citations in EconPapers (2)

Published in Socio-Economic Planning Sciences, 2014, 48 (4), pp.273-289. ⟨10.1016/j.seps.2014.04.002⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-01510900

DOI: 10.1016/j.seps.2014.04.002

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