Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/63447 
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dc.contributor.authorZhang, Yinen
dc.contributor.authorWan, Guanghuaen
dc.date.accessioned2012-09-21T09:40:10Z-
dc.date.available2012-09-21T09:40:10Z-
dc.date.issued2005-
dc.identifier.isbn9291907367en
dc.identifier.urihttp://hdl.handle.net/10419/63447-
dc.description.abstractThis paper proposes a semi-parametric method for poverty decomposition, which combines the data-generating procedure of Shorrocks and Wan (2004) with the Shapley value framework of Shorrocks (1999). Compared with the popular method of Datt and Ravallion (1992), our method is more robust to misspecification errors, does not require the predetermination of functional forms, provides better fit to the underlying Lorenz curve and incorporates the residual term in a rigorous way. The method is applied to decomposing variations of urban poverty across the Chinese provinces into three components – contributions by the differences in average nominal income, inequality and poverty line. The results foreground average income as the key determinant of poverty incidence, but also attach importance to the influence of distribution. The regional pattern of the decomposition suggests provincial groupings based not entirely on geographical locations. – poverty ; Shapley decomposition ; Chinaen
dc.language.isoengen
dc.publisher|aThe United Nations University World Institute for Development Economics Research (UNU-WIDER) |cHelsinkien
dc.relation.ispartofseries|aWIDER Research Paper |x2005/56en
dc.subject.jelO15en
dc.subject.jelO53en
dc.subject.ddc330en
dc.subject.stwArmuten
dc.subject.stwRäumliche Verteilungen
dc.subject.stwChinaen
dc.titleWhy do poverty rates differ from region to region? The case of urban China-
dc.typeWorking Paperen
dc.identifier.ppn501146318en
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungenen

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