Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/23308
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dc.contributor.authorAzeem, Masooden
dc.contributor.authorMugera, Amin Wen
dc.contributor.authorSchilizzi, Stevenen
dc.date.accessioned2018-06-19T14:28:00Z-
dc.date.issued2018-
dc.identifier.citationThe Journal of Development Studies, 54(9), p. 1612-1636en
dc.identifier.issn1743-9140en
dc.identifier.issn0022-0388en
dc.identifier.urihttps://hdl.handle.net/1959.11/23308-
dc.description.abstractThis paper investigates whether different measures of ex-post poverty and ex-ante vulnerability to poverty provide consistent estimates of poverty and vulnerability to poverty across households. Moreover, if there is some heterogeneity in the identification of households as poor and vulnerable, it investigates the degree of mismatch between measures? The ex-post monetary poverty (MP) and multidimensional poverty (MDP) measures are used to identify poor households. Likewise, the ex-ante vulnerability to monetary poverty (VMP) and vulnerability to multidimensional poverty (VMDP) measures are used to identify vulnerable households. Using a large household survey data-set of about 90,000 households from the Punjab province of Pakistan, we find that most of the vulnerable households are accurately identified by the ex-ante measures of vulnerability to poverty. However, the ex-post measures of poverty identify different households as poor. Our results show that 18 percent households experiencing MDP are not captured by the one-dimensional measure of MP. The important implication of this study is that the choice of measures does matter in ex-post poverty identification, but not as much in the identification of ex-ante vulnerability to poverty.en
dc.languageenen
dc.publisherRoutledgeen
dc.relation.ispartofThe Journal of Development Studiesen
dc.titleVulnerability to Multi-Dimensional Poverty: An Empirical Comparison of Alternative Measurement Approachesen
dc.typeJournal Articleen
dc.identifier.doi10.1080/00220388.2017.1344646en
dc.subject.keywordsCross-Sectional Analysisen
dc.subject.keywordsEconomic Development and Growthen
local.contributor.firstnameMasooden
local.contributor.firstnameAmin Wen
local.contributor.firstnameStevenen
local.subject.for2008140301 Cross-Sectional Analysisen
local.subject.for2008140202 Economic Development and Growthen
local.subject.seo2008910599 Measurement Standards and Calibration Services not elsewhere classifieden
local.subject.seo2008910201 Consumptionen
local.profile.schoolUNE Business Schoolen
local.profile.emailmazeem@une.edu.auen
local.output.categoryC1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.identifier.epublicationsrecordune-20170801-092632en
local.publisher.placeUnited Kingdomen
local.format.startpage1612en
local.format.endpage1636en
local.identifier.scopusid85026208694en
local.peerreviewedYesen
local.identifier.volume54en
local.identifier.issue9en
local.title.subtitleAn Empirical Comparison of Alternative Measurement Approachesen
local.contributor.lastnameAzeemen
local.contributor.lastnameMugeraen
local.contributor.lastnameSchilizzien
dc.identifier.staffune-id:mazeemen
local.profile.orcid0000-0003-4531-1016en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:23490en
local.identifier.handlehttps://hdl.handle.net/1959.11/23308en
dc.identifier.academiclevelAcademicen
local.title.maintitleVulnerability to Multi-Dimensional Povertyen
local.output.categorydescriptionC1 Refereed Article in a Scholarly Journalen
local.search.authorAzeem, Masooden
local.search.authorMugera, Amin Wen
local.search.authorSchilizzi, Stevenen
local.uneassociationUnknownen
local.identifier.wosid000434406400008en
local.year.published2018en
local.fileurl.closedpublishedhttps://rune.une.edu.au/web/retrieve/39185883-7b4f-4375-8050-8c81baa564c4en
local.subject.for2020380201 Cross-sectional analysisen
local.subject.seo2020150501 Consumptionen
dc.notification.token239bc322-95c7-420c-aad2-262969409a09en
Appears in Collections:Journal Article
UNE Business School
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