Welfare rankings from multivariate data, a nonparametric approach.
Economic and social welfare is inherently multidimensional. However, choosing a measure which combines several indicators is difficult and may have unintendend and undesirable effects on the incentives of policy makers. We develop a nonparametric empirical method for deriving welfare rankings for a...
| Main Authors: | , , |
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| Format: | Journal article |
| Language: | English |
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Elsevier
2011
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| _version_ | 1797074412342607872 |
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| author | Anderson, G Crawford, I Leicester, A |
| author_facet | Anderson, G Crawford, I Leicester, A |
| author_sort | Anderson, G |
| collection | OXFORD |
| description | Economic and social welfare is inherently multidimensional. However, choosing a measure which combines several indicators is difficult and may have unintendend and undesirable effects on the incentives of policy makers. We develop a nonparametric empirical method for deriving welfare rankings for a social planner based on data envelopment, which avoids the need to specify a weighting scheme. We apply this method to data on Human Development. |
| first_indexed | 2024-03-06T23:35:46Z |
| format | Journal article |
| id | oxford-uuid:6d9af318-bb33-4406-a2aa-8aa3a4076140 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-06T23:35:46Z |
| publishDate | 2011 |
| publisher | Elsevier |
| record_format | dspace |
| spelling | oxford-uuid:6d9af318-bb33-4406-a2aa-8aa3a40761402022-03-26T19:18:52ZWelfare rankings from multivariate data, a nonparametric approach.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:6d9af318-bb33-4406-a2aa-8aa3a4076140EnglishDepartment of Economics - ePrintsElsevier2011Anderson, GCrawford, ILeicester, AEconomic and social welfare is inherently multidimensional. However, choosing a measure which combines several indicators is difficult and may have unintendend and undesirable effects on the incentives of policy makers. We develop a nonparametric empirical method for deriving welfare rankings for a social planner based on data envelopment, which avoids the need to specify a weighting scheme. We apply this method to data on Human Development. |
| spellingShingle | Anderson, G Crawford, I Leicester, A Welfare rankings from multivariate data, a nonparametric approach. |
| title | Welfare rankings from multivariate data, a nonparametric approach. |
| title_full | Welfare rankings from multivariate data, a nonparametric approach. |
| title_fullStr | Welfare rankings from multivariate data, a nonparametric approach. |
| title_full_unstemmed | Welfare rankings from multivariate data, a nonparametric approach. |
| title_short | Welfare rankings from multivariate data, a nonparametric approach. |
| title_sort | welfare rankings from multivariate data a nonparametric approach |
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