Revisions of the global multidimensional poverty index

Indicator options and their empirical assessment

Bibliographic Data

ID21695047
AuthorsSabina Alkire (0000-0002-9981-7525, corresponding author), Usha Kanagaratnam (0000-0001-9385-7481, University of Oxford, corresponding author)
Year2021
Volume49
Issue2
Pages169-183
Publication date2021-04-03
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueOxford Development Studies (JOURNAL)
Journal identifiersISSN: 1360-0818 • E-ISSN: 1469-9966
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13600818.2020.1854209
OpenAlexW3112726623
LanguageEN
Citations received22
References cited14

This paper examines how normative reasoning was applied to empirical applications of different indicator options in order to revise the global Multidimensional Poverty Index (MPI) indicators in 2018, to better align with the SDGs. Given the emphasis in the SDGs on leaving no one behind, the household surveys used to estimate the global MPI were explored to see which could create individual-level MPIs, however this sharply reduced country coverage by half. Consistent criteria is applied to assess whether 33 potential additional indicators could be added to strengthen the global MPI. A certain set of criteria applied rules out new indicators. Finally, the paper both illustrates and describes the iterative interplay of normative and technical considerations underlying adjustments in three original indicators – child mortality, nutrition, and housing – which involves considering the joint distribution of alternative indicators across twenty trial measures for all countries

Econometrics · Economic growth · Economics · Normative · Political science · Poverty · Public economics · Child Nutrition and Water Access · Computer Science · Income, Poverty, and Inequality · Mathematics · Poverty, Education, and Child Welfare

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