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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Bibliographic Details
Main Authors: Calvo, C, Fernandez, F
Other Authors: Development, D
Format: Working paper
Language:English
Published: Oxford Poverty & Human Development Initiative (OPHI) 2012