A Principal Components Approach to Multidimensional Poverty: A data- driven application on Timor-Leste data
Since the late nineties, the discussion on the concept and measurement of poverty has centred on the Oxford Poverty and Human Development Initiative (OPHI) and its proposal known as Multidimensional Poverty Index (MPI). The MPI displays some advantages over other indices, like being more...
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| Lenguaje: | deu |
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AUSTRALIA / Universidad de Monash
2015
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| Acceso en línea: | http://repositorio.educacionsuperior.gob.ec/handle/28000/1738 |
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| Sumario: | Since the late nineties, the discussion on the concept and measurement of poverty has centred on the Oxford Poverty and Human Development Initiative (OPHI) and its proposal known as Multidimensional Poverty Index (MPI). The MPI displays some advantages over other indices, like being more reliable than the unidimensional income/consumption poverty or more applicable for poverty alleviation programs. However, the MPI also displays some contradictions such as the approaches and techniques used to weight and to aggregate the multivariate indicators. In order to obtain the vector of weights and aggregate MPI components, there had been analysed some multivariate approaches that fluctuate between two extremes: the complete arbitrariness and the data-driven principle. |
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