Multidimensional poverty : measurement, estimation, and inference
<p>Multidimensional poverty measures give rise to a host of statistical hypotheses which are of interest to applied economists and policy-makers alike. In the specific context of the generalized Alkire-Foster (Alkire and Foster 2008) class of measures, we show that many of these hypotheses can...
| Main Authors: | , |
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| Format: | Working paper |
| Language: | English |
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Oxford Poverty & Human Development Initiative (OPHI)
2011
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| _version_ | 1797097742323941376 |
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| author | Bennett, C Mitra, S |
| author_facet | Bennett, C Mitra, S |
| author_sort | Bennett, C |
| collection | OXFORD |
| description | <p>Multidimensional poverty measures give rise to a host of statistical hypotheses which are of interest to applied economists and policy-makers alike. In the specific context of the generalized Alkire-Foster (Alkire and Foster 2008) class of measures, we show that many of these hypotheses can be treated in a unified manner and also tested simultaneously using the minimum p-value methodology of Bennett (2010). When applied to study the relative state of poverty among Hindus and Muslims in India, these tests reveal novel insights into the plight of the poor which are not otherwise captured by traditional univariate approaches.</p> |
| first_indexed | 2024-03-07T04:59:35Z |
| format | Working paper |
| id | oxford-uuid:d7d2f9db-faca-4538-a734-c96e46f51523 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T04:59:35Z |
| publishDate | 2011 |
| publisher | Oxford Poverty & Human Development Initiative (OPHI) |
| record_format | dspace |
| spelling | oxford-uuid:d7d2f9db-faca-4538-a734-c96e46f515232022-03-27T08:43:52ZMultidimensional poverty : measurement, estimation, and inferenceWorking paperhttp://purl.org/coar/resource_type/c_8042uuid:d7d2f9db-faca-4538-a734-c96e46f51523EnglishOxford University Research Archive - ValetOxford Poverty & Human Development Initiative (OPHI)2011Bennett, CMitra, S<p>Multidimensional poverty measures give rise to a host of statistical hypotheses which are of interest to applied economists and policy-makers alike. In the specific context of the generalized Alkire-Foster (Alkire and Foster 2008) class of measures, we show that many of these hypotheses can be treated in a unified manner and also tested simultaneously using the minimum p-value methodology of Bennett (2010). When applied to study the relative state of poverty among Hindus and Muslims in India, these tests reveal novel insights into the plight of the poor which are not otherwise captured by traditional univariate approaches.</p> |
| spellingShingle | Bennett, C Mitra, S Multidimensional poverty : measurement, estimation, and inference |
| title | Multidimensional poverty : measurement, estimation, and inference |
| title_full | Multidimensional poverty : measurement, estimation, and inference |
| title_fullStr | Multidimensional poverty : measurement, estimation, and inference |
| title_full_unstemmed | Multidimensional poverty : measurement, estimation, and inference |
| title_short | Multidimensional poverty : measurement, estimation, and inference |
| title_sort | multidimensional poverty measurement estimation and inference |
| work_keys_str_mv | AT bennettc multidimensionalpovertymeasurementestimationandinference AT mitras multidimensionalpovertymeasurementestimationandinference |