Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/53096
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dc.contributor.authorKamanou, Giseleen_US
dc.contributor.authorMorduch, Jonathanen_US
dc.date.accessioned2011-12-14T09:51:21Z-
dc.date.available2011-12-14T09:51:21Z-
dc.date.issued2002en_US
dc.identifier.isbn9291902411en_US
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_US
dc.language.isoengen_US
dc.publisher|aUNU-WIDER |cHelsinkien_US
dc.relation.ispartofseries|aWIDER Discussion Papers // World Institute for Development Economics (UNU-WIDER) |x2002/58en_US
dc.subject.jelO1en_US
dc.subject.jelD3en_US
dc.subject.jelI3en_US
dc.subject.ddc330en_US
dc.subject.stwArmuten_US
dc.subject.stwMessungen_US
dc.subject.stwElfenbeinküsteen_US
dc.titleMeasuring vulnerability to povertyen_US
dc.typeWorking Paperen_US
dc.identifier.ppn350613346en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen_US

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