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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Podrobná bibliografie
Hlavní autoři: Calvo, C, Fernandez, F
Další autoři: Development, D
Médium: Working paper
Jazyk:English
Vydáno: Oxford Poverty & Human Development Initiative (OPHI) 2012