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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Bibliografske podrobnosti
Main Authors: Calvo, C, Fernandez, F
Drugi avtorji: Development, D
Format: Working paper
Jezik:English
Izdano: Oxford Poverty & Human Development Initiative (OPHI) 2012