Working paper
Measuring and decomposing inequality among multidimensionally poor using ordinal data : a counting approach
- Abstract:
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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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Authors
Funding
Economic and Social Research Council
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Department for International Development
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Robertson Foundation
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German Federal Ministry for Economic Cooperation and Development
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Bibliographic Details
- Publisher:
- Oxford Poverty & Human Development Initiative (OPHI)
- Series:
- Ophi working paper
- Paper number:
- 68
Item Description
- Language:
- English
- Keywords:
- Subjects:
- UUID:
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uuid:49111ca0-d178-4d75-b8e8-1bc40aef5b16
- Local pid:
- ora:9047
- Deposit date:
- 2014-10-08
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Terms of use
- Copyright holder:
- Oxford Poverty & Human Development Initative
- Copyright date:
- 2014
- Notes:
- Copyright Oxford Poverty & Human Development Initiative. Citation: Seth, S. & Alkire, S. (2014) Measuring and decomposing inequality among the multidimensionally poor using ordinal data: A counting approach. OPHI Working Paper 68, University of Oxford.
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