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dc.contributor.authorKamanou, Giseleen
dc.contributor.authorMorduch, Jonathanen
dc.date.accessioned2011-12-14T09:51:21Z-
dc.date.available2011-12-14T09:51:21Z-
dc.date.issued2002-
dc.identifier.isbn9291902411en
dc.identifier.urihttp://hdl.handle.net/10419/53096-
dc.description.abstractMany argue that poverty is intimately linked with ‘vulnerability’. Still, there is no consensus about how to define and measure ‘vulnerability’. We review theory and describe strengths and limits of recently proposed measures. We then propose a definition of vulnerability and develop a general empirical framework that combines Monte Carlo and bootstrap statistical techniques. The approach estimates the expected distribution of future expenditures for each household and then calculates vulnerability measures as a function of those distributions. The approach addresses weaknesses in existing methods, and can be implemented with panel data. An application to Côte d’Ivoire in 1985–86 shows that by our definition there was considerable vulnerability in the cities outside of Abidjan, a finding obscured by existing methods. – vulnerability ; poverty ; poverty measurement ; Côte d’Ivoireen
dc.language.isoengen
dc.publisher|aThe United Nations University World Institute for Development Economics Research (UNU-WIDER) |cHelsinkien
dc.relation.ispartofseries|aWIDER Discussion Paper |x2002/58en
dc.subject.jelO1en
dc.subject.jelD3en
dc.subject.jelI3en
dc.subject.ddc330en
dc.subject.stwArmuten
dc.subject.stwMessungen
dc.subject.stwElfenbeinküsteen
dc.titleMeasuring vulnerability to poverty-
dc.typeWorking Paperen
dc.identifier.ppn350613346en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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