| Date: |
2017 |
| Abstract: |
In this empirically driven paper we compare the performance of two techniques in the literature of poverty measurement with ordinal data: multidimensional poverty indices and first order dominance techniques (FOD). Combining multiple scenario simulated data with observed data from 48 Demographic and Health Surveys around the developing world, our empirical findings suggest that the FOD approach can be implemented as a useful robustness check for ordinal poverty indices like the multidimensional poverty index (MPI; the United Nations Development Program's flagship poverty indicator) to distinguish between those country comparisons that are sensitive to alternative specifications of basic measurement assumptions and those which are not. To the extent that the FOD approach is able to uncover the socio-economic gradient that exists between countries, it can be proposed as a viable complement to the MPI with the advantage of not having to rely on many of the normatively binding assumptions that underpin the construction of the index. |
| Grants: |
Ministerio de Economía y Competitividad ERC-2014-StG-637768
Ministerio de Economía y Competitividad ECO2013-46516-C4-1-R
|
| Rights: |
Tots els drets reservats.  |
| Language: |
Anglès |
| Document: |
Article ; recerca ; Versió acceptada per publicar |
| Subject: |
Multidimensional poverty measurement ;
Poverty index ;
First order dominance ;
Robustness ;
Simulations |
| Published in: |
Social indicators research, 2017 (26 April) , ISSN 1573-0921 |
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