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Measuring and decomposing inequality among multidimensionally poor using ordinal data : a counting approach

Abstract:

Poverty has many dimensions, which, in practice, are often binary or ordinal in nature. A number of multidimensional measures of poverty have recently been proposed that respect this ordinal nature. These measures agree that the consideration of inequality across the poor is important, which is typically captured by adjusting the poverty measure to be sensitive to inequality. This, however, comes at the cost of sacrificing certain policy-relevant properties, such as not being able to break...

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Publication status:
Published
Peer review status:
Peer reviewed

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Institution:
University of Oxford
Division:
SSD
Department:
International Development
Research group:
Oxford Poverty and Human Development Initiative (OPHI)
Role:
Author
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Institution:
University of Oxford
Division:
SSD
Department:
International Development
Role:
Author
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Funding agency for:
Alkire, S
Grant:
ES/1032827/1
Economic and Social Research Council More from this funder
Department for International Development More from this funder
Robertson Foundation More from this funder
German Federal Ministry for Economic Cooperation and Development More from this funder
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Publisher:
Oxford Poverty & Human Development Initiative (OPHI)
Series:
Ophi working paper
Paper number:
68
Language:
English
Keywords:
Subjects:
UUID:
uuid:49111ca0-d178-4d75-b8e8-1bc40aef5b16
Local pid:
ora:9047
Deposit date:
2014-10-08

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