Sensitivity analyses in poverty measurement : the case of the global multidimensional poverty index
Alkire, Sabina
Kanagaratnam, Usha
Nogales, Ricardo
Suppa, Nicolai

Date: 2019
Abstract: This paper provides an extensive sensitivity analyses of the global multidimensional poverty index (MPI), which is a counting-based measure of acute poverty covering over 100 developing countries. Empirically, the paper probes the sensitivity of poverty measures and comparisons to modifications in key parameters. Outcomes studied include the adjusted headcount and headcount ratios and their subnational rankings, as well as the exact set of people who are identified as poor. The parameters that are adjusted include the poverty cutoff, weights or deprivation values, and indicators. Multidimensional poverty measures are generated using 10 alternative poverty cutoffs, 231 alternative weighting schemes, and six alternative indicator selections, in addition to the global MPI baseline specifications. Comparisons across 1226 subnational regions for 98 countries are assessed using the percent of pairwise comparisons for an alternative parameter that are robust in comparisons with the global MPI baseline. Assessments of the fit between poverty sets in relation to the global MPI poverty set use the Jaccard coefficient. Overall, the outcomes show little sensitivity when parameters are changed within plausible ranges, but there are a number of general findings of potential interest that emerge. Finally, the present paper also suggests 'second-order' sensitivity analyses to deepen the understanding of the underlying methods by varying poverty cutoffs and indicators simultaneously. The union-based measures are less stable than the base-line measure.
Grants: Ministerio de Ciencia e Innovación IJCI-2017-33950
European Research Council 637768
Note: Altres ajuts: CERCA Programme/Generalitat de Catalunya
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, sempre que no sigui amb finalitats comercials, i sempre que es reconegui l'autoria de l'obra original. Creative Commons
Language: Anglès
Document: Comunicació de congrés
Subject: Poverty measurement ; Sensitivity analysis ; Multidimensional poverty ; Global poverty
Published in: IARIW-World Bank Conference "New Approaches to Defining and Measuring Poverty in a Growing World". Washington, DC, : 2019

Adreça alternativa: http://old.iariw.org/washington/Suppa-paper.pdf


26 p, 956.7 KB

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (research output) > Social and Legal Sciences > Centre for Demographic Studies (CED-CERCA)
Contributions to meetings and congresses > Papers and communications > UAB papers and communications

 Record created 2021-07-21, last modified 2022-06-02



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