Measurement errors and multidimensional poverty

<p>Under quite likely conditions, data measurement errors can cause an (upward) bias in unidimensional poverty estimates and thus mislead both conceptual analyses and policy implications. In the case of multidimensional poverty, we find that by proposing a dual cut-off strategy, the Alkire-Fos...

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Bibliografiska uppgifter
Huvudupphovsmän: Calvo, C, Fernandez, F
Övriga upphovsmän: Development, D
Materialtyp: Working paper
Språk:English
Publicerad: Oxford Poverty & Human Development Initiative (OPHI) 2012