Publication:
Reconceptualizing Global Multidimensional Poverty Measurement, with Illustration on Nigerian Data

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dc.contributor.authorDecerf, Bonoit
dc.contributor.authorFonton, Kike
dc.date.accessioned2023-10-03T20:42:54Z
dc.date.available2023-10-03T20:42:54Z
dc.date.issued2023-10-03
dc.description.abstractMultidimensional poverty measures can in theory make well-being comparisons that are less biased than those solely based on monetary poverty. However, global multidimensional poverty measures suffer in practice from limitations that have led to credible criticisms. This paper presents the case for multidimensional poverty measures, two criticisms against their current implementations, as well as recently proposed solutions to improve on these criticisms. The paper develops a method for implementing these solutions in practice. The resulting well-being indicator is used to compare well-being across Nigerian states in 2019. This empirical illustration suggests that these solutions may substantially affect well-being comparisons. The paper also quantifies the potential bias inherent to comparing well-being solely based on monetary poverty. The results find substantially different well-being comparisons between the proposed well-being indicator and monetary poverty even though monetary poverty was (i) high in Nigeria in 2019 and (ii) very heterogeneously distributed across Nigerian states; and (iii) is integrated as one component of the proposed well-being indicator. The paper aims to improve global multidimensional poverty measures by making them more consistent with preference theory and by incorporating the direct impact of mortality, which deprives individuals of the most important functioning.en
dc.identifierhttp://documents.worldbank.org/curated/en/099345010022340305/IDU0894308b506a1704cd6091f10302ac764ccdb
dc.identifier.doi10.1596/1813-9450-10577
dc.identifier.urihttps://openknowledge.worldbank.org/handle/10986/40424
dc.languageEnglish
dc.language.isoen
dc.publisherWashington, DC: World Bank
dc.relation.ispartofseriesPolicy Research Working Paper; 10577
dc.rightsCC BY 3.0 IGO
dc.rights.holderWorld Bank
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/igo/
dc.subjectMULTIDIMENSIONAL POVERTY MEASUREMENT
dc.subjectWELL-BEING INDICATOR
dc.subjectMONITARY POVERTY MEASUREMENT BIAS
dc.subjectMORTALITY IMPACT MEASUREMENT
dc.titleReconceptualizing Global Multidimensional Poverty Measurement, with Illustration on Nigerian Dataen
dc.typeWorking Paper
dspace.entity.typePublication
okr.associatedcontenthttps://reproducibility.worldbank.org/index.php/catalog/63 Link to reproducibility package
okr.crossref.titleReconceptualizing Global Multidimensional Poverty Measurement, with Illustration on Nigerian Data
okr.date.disclosure2023-10-02
okr.date.doiregistration2025-04-07T08:14:56.934891Z
okr.date.doiregistration2025-04-08T16:06:37.556296Z
okr.date.doiregistration2025-04-09T02:47:26.658881Z
okr.date.lastmodified2023-10-02T00:00:00Zen
okr.doctypePolicy Research Working Paper
okr.doctypePublications & Research
okr.docurlhttp://documents.worldbank.org/curated/en/099345010022340305/IDU0894308b506a1704cd6091f10302ac764ccdb
okr.guid099345010022340305
okr.identifier.docmidIDU-894308b5-6a17-4cd6-91f1-302ac764ccdb
okr.identifier.doi10.1596/1813-9450-10577
okr.identifier.doihttp://dx.doi.org/10.1596/1813-9450-10577
okr.identifier.externaldocumentum34173629
okr.identifier.internaldocumentum34173629
okr.identifier.reportWPS10577
okr.import.id1918
okr.importedtrueen
okr.language.supporteden
okr.pdfurlhttp://documents.worldbank.org/curated/en/099345010022340305/pdf/IDU0894308b506a1704cd6091f10302ac764ccdb.pdfen
okr.region.administrativeAfrica Western and Central (AFW)
okr.region.countryNigeria
okr.topicPoverty Reduction::Inequality
okr.topicPoverty Reduction::Poverty Diagnostics
okr.topicHealth, Nutrition and Population::Health and Poverty
okr.unitDECRG: Poverty & Inequality (DECPI)
okr.unitEFI-MNA-POV-Poverty and Equity (EMNPV)
relation.isSeriesOfPublication26e071dc-b0bf-409c-b982-df2970295c87
relation.isSeriesOfPublication.latestForDiscovery26e071dc-b0bf-409c-b982-df2970295c87
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