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dc.contributor.authorMüller, Adrianen_US
dc.date.accessioned2010-09-13T14:37:28Z-
dc.date.available2010-09-13T14:37:28Z-
dc.date.issued2008en_US
dc.identifier.urihttp://hdl.handle.net/10419/39900-
dc.description.abstractI discuss how poverty decomposition methods relate to integral approximation, which ultimately is the foundation of every decomposition of the temporal change of a quantity into key drivers. This offers a common framework for the different decomposition methods used in the literature, clarifies their often somewhat unclear theoretical underpinning and identifies the methods’ shortcomings. In light of integral approximation, many methods actually lack a sound theoretical basis and they usually have an ad-hoc character in assigning the residual terms to the different key effects. I illustrate these claims for the Shapley-value decomposition and methods related to the Datt-Ravaillon approach and point out difficulties in axiomatic approaches to poverty decomposition. Recent developments in energy and pollutant decomposition offer some improved methods, but ultimately, a further development of poverty decomposition should account for the basis in integral approximation.en_US
dc.language.isoeng-
dc.publisherVerein für Socialpolitik, Ausschuss für Entwicklungsländer Göttingenen_US
dc.relation.ispartofseriesProceedings of the German Development Economics Conference, Zürich 2008 30en_US
dc.subject.jelI32en_US
dc.subject.jelC43en_US
dc.subject.ddc330en_US
dc.subject.keywordpoverty analysisen_US
dc.subject.keywordpoverty measuresen_US
dc.subject.keyworddecompositionen_US
dc.subject.keywordShapley-valueen_US
dc.subject.keywordinequalityen_US
dc.titleClarifying Poverty Decompositionen_US
dc.typeConference Paperen_US
dc.identifier.ppn654065845-
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
dc.identifier.repecRePEc:zbw:gdec08:30-
Appears in Collections:Proceedings of the German Development Economics Conference, 2008 (Zürich)

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