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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AUSTRALIA / Universidad de Monash
2015
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oai:localhost:28000-17382017-02-21T16:30:19Z A Principal Components Approach to Multidimensional Poverty: A data- driven application on Timor-Leste data Montesdeoca Esp?n, Lourdes Cumand? Inder, Brett INDICADORES DE POBREZA AN?LISIS DE COMPONENTES PRNCIPALES MATRIZ DE CORRELACI?N POLIC?RICA ECONOM?A DEL BIENESTAR 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. 2015-12-21T19:46:25Z 2015-12-21T19:46:25Z 2015-07-15 Montesdeoca Esp?n,Lourdes Cumand?. (2015). A Principal Components Approach to Multidimensional Poverty: A data- driven application on Timor-Leste data. Trabajo de titulaci?n para Maestr?a de Econometr?a Aplicada. Universidad de Monash. Australia. 31 p. http://repositorio.educacionsuperior.gob.ec/handle/28000/1738 deu AUSTRALIA / Universidad de Monash |
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INDICADORES DE POBREZA AN?LISIS DE COMPONENTES PRNCIPALES MATRIZ DE CORRELACI?N POLIC?RICA ECONOM?A DEL BIENESTAR |
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INDICADORES DE POBREZA AN?LISIS DE COMPONENTES PRNCIPALES MATRIZ DE CORRELACI?N POLIC?RICA ECONOM?A DEL BIENESTAR Montesdeoca Esp?n, Lourdes Cumand? A Principal Components Approach to Multidimensional Poverty: A data- driven application on Timor-Leste data |
description |
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. |
author2 |
Inder, Brett |
author_facet |
Inder, Brett Montesdeoca Esp?n, Lourdes Cumand? |
author |
Montesdeoca Esp?n, Lourdes Cumand? |
author_sort |
Montesdeoca Esp?n, Lourdes Cumand? |
title |
A Principal Components Approach to Multidimensional Poverty: A data- driven application on Timor-Leste data |
title_short |
A Principal Components Approach to Multidimensional Poverty: A data- driven application on Timor-Leste data |
title_full |
A Principal Components Approach to Multidimensional Poverty: A data- driven application on Timor-Leste data |
title_fullStr |
A Principal Components Approach to Multidimensional Poverty: A data- driven application on Timor-Leste data |
title_full_unstemmed |
A Principal Components Approach to Multidimensional Poverty: A data- driven application on Timor-Leste data |
title_sort |
principal components approach to multidimensional poverty: a data- driven application on timor-leste data |
publisher |
AUSTRALIA / Universidad de Monash |
publishDate |
2015 |
url |
http://repositorio.educacionsuperior.gob.ec/handle/28000/1738 |
_version_ |
1634995045169889280 |
score |
11,871979 |