Measurement errors and multidimensional poverty
<p>Under quite likely conditions, data measurement errors can cause an (upward) bias in unidimensional poverty estimates and thus mislead both conceptual analyses and policy implications. In the case of multidimensional poverty, we find that by proposing a dual cut-off strategy, the Alkire-Fos...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Working paper |
| Language: | English |
| Published: |
Oxford Poverty & Human Development Initiative (OPHI)
2012
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| _version_ | 1797076458042032128 |
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| author | Calvo, C Fernandez, F |
| author2 | Development, D |
| author_facet | Development, D Calvo, C Fernandez, F |
| author_sort | Calvo, C |
| collection | OXFORD |
| description | <p>Under quite likely conditions, data measurement errors can cause an (upward) bias in unidimensional poverty estimates and thus mislead both conceptual analyses and policy implications. In the case of multidimensional poverty, we find that by proposing a dual cut-off strategy, the Alkire-Foster method will typically attenuate this bias. With data from a 2010 Living Standard Measurement Survey (LSMS) from Peru, we find empirical evidence in support of this virtue of the dual cut-off strategy.</p> |
| first_indexed | 2024-03-07T00:04:04Z |
| format | Working paper |
| id | oxford-uuid:76f29c49-3c03-4d2d-92a3-37dd4cf5f539 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T00:04:04Z |
| publishDate | 2012 |
| publisher | Oxford Poverty & Human Development Initiative (OPHI) |
| record_format | dspace |
| spelling | oxford-uuid:76f29c49-3c03-4d2d-92a3-37dd4cf5f5392022-03-26T20:19:50ZMeasurement errors and multidimensional povertyWorking paperhttp://purl.org/coar/resource_type/c_8042uuid:76f29c49-3c03-4d2d-92a3-37dd4cf5f539EnglishOxford University Research Archive - ValetOxford Poverty & Human Development Initiative (OPHI)2012Calvo, CFernandez, FDevelopment, DDevelopment, D<p>Under quite likely conditions, data measurement errors can cause an (upward) bias in unidimensional poverty estimates and thus mislead both conceptual analyses and policy implications. In the case of multidimensional poverty, we find that by proposing a dual cut-off strategy, the Alkire-Foster method will typically attenuate this bias. With data from a 2010 Living Standard Measurement Survey (LSMS) from Peru, we find empirical evidence in support of this virtue of the dual cut-off strategy.</p> |
| spellingShingle | Calvo, C Fernandez, F Measurement errors and multidimensional poverty |
| title | Measurement errors and multidimensional poverty |
| title_full | Measurement errors and multidimensional poverty |
| title_fullStr | Measurement errors and multidimensional poverty |
| title_full_unstemmed | Measurement errors and multidimensional poverty |
| title_short | Measurement errors and multidimensional poverty |
| title_sort | measurement errors and multidimensional poverty |
| work_keys_str_mv | AT calvoc measurementerrorsandmultidimensionalpoverty AT fernandezf measurementerrorsandmultidimensionalpoverty |