Analysing Multidimensional Poverty in Guinea: A Fuzzy Set Approach

dc.contributor.authorDiallo, Fatoumata Lamarana
dc.date.accessioned2019-02-21T05:31:08Z
dc.date.available2019-02-21T05:31:08Z
dc.date.issued2012-12
dc.descriptionHC 1030. Z 9 2012en_US
dc.description.abstractThis study examines the multidimensional aspect of poverty in Guinea, taking into account both the monetary and non-monetary dimensions of poverty. We use data from the Full Base Survey on Poverty Assessment (FBSPA, 2002-2003). The methodology relies on the fuzzy set approach of Dagum and Costa (2004), which is supplemented by the decomposition methods of Mussard and Pi Alperin (2005). The main results that emerge are: i) the identification of the key variables associated with poverty; and ii) the identification of deprivation state according to selected attributes for different groups such as natural regions, administrative regions, area of residence, gender, religion and household size. The effect of attributes on the deprivation of each group and the global poverty index has also been tested.en_US
dc.description.sponsorshipAERCen_US
dc.identifier.isbn978-9966-023-28-5
dc.identifier.urihttp://aercafricalibrary.org:8080/123456789/185
dc.publisherAERCen_US
dc.relation.ispartofseries;RESEARCH PAPER 251
dc.subjectPoverty - Economic modelsen_US
dc.subjectPoverty - Mearsurementen_US
dc.subjectGuineaen_US
dc.subjectMultidimensional Povertyen_US
dc.subjectFuzzy Seten_US
dc.titleAnalysing Multidimensional Poverty in Guinea: A Fuzzy Set Approachen_US
dc.typeArticleen_US
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