Testing for stochastic dominance among additive, multivariate welfare functions with discrete variable
<p>A flourishing literature on robustness in multidimensional welfare and poverty comparisons has aroused the interest on multidimensional stochastic dominance. By generalizing the dominance conditions of Atkinson and Bourguignon (1982) this paper offers complete conditions, alternative to tho...
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| Format: | Working paper |
| Language: | English |
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Oxford Poverty & Human Development Initiative (OPHI)
2009
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| _version_ | 1797080321014890496 |
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| author | Yalonetzky, G |
| author_facet | Yalonetzky, G |
| author_sort | Yalonetzky, G |
| collection | OXFORD |
| description | <p>A flourishing literature on robustness in multidimensional welfare and poverty comparisons has aroused the interest on multidimensional stochastic dominance. By generalizing the dominance conditions of Atkinson and Bourguignon (1982) this paper offers complete conditions, alternative to those proposed by Duclos <i>et al.</i> (2006a,b). We also show how to test these conditions for discrete variables extending the non-parametric test by Anderson (1996) to multiple dimensions. An empirical application illustrates these tests.</p> |
| first_indexed | 2024-03-07T00:58:18Z |
| format | Working paper |
| id | oxford-uuid:88d96208-4537-415e-b25a-b53c38524f81 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T00:58:18Z |
| publishDate | 2009 |
| publisher | Oxford Poverty & Human Development Initiative (OPHI) |
| record_format | dspace |
| spelling | oxford-uuid:88d96208-4537-415e-b25a-b53c38524f812022-03-26T22:20:15ZTesting for stochastic dominance among additive, multivariate welfare functions with discrete variableWorking paperhttp://purl.org/coar/resource_type/c_8042uuid:88d96208-4537-415e-b25a-b53c38524f81EnglishOxford University Research Archive - ValetOxford Poverty & Human Development Initiative (OPHI)2009Yalonetzky, G<p>A flourishing literature on robustness in multidimensional welfare and poverty comparisons has aroused the interest on multidimensional stochastic dominance. By generalizing the dominance conditions of Atkinson and Bourguignon (1982) this paper offers complete conditions, alternative to those proposed by Duclos <i>et al.</i> (2006a,b). We also show how to test these conditions for discrete variables extending the non-parametric test by Anderson (1996) to multiple dimensions. An empirical application illustrates these tests.</p> |
| spellingShingle | Yalonetzky, G Testing for stochastic dominance among additive, multivariate welfare functions with discrete variable |
| title | Testing for stochastic dominance among additive, multivariate welfare functions with discrete variable |
| title_full | Testing for stochastic dominance among additive, multivariate welfare functions with discrete variable |
| title_fullStr | Testing for stochastic dominance among additive, multivariate welfare functions with discrete variable |
| title_full_unstemmed | Testing for stochastic dominance among additive, multivariate welfare functions with discrete variable |
| title_short | Testing for stochastic dominance among additive, multivariate welfare functions with discrete variable |
| title_sort | testing for stochastic dominance among additive multivariate welfare functions with discrete variable |
| work_keys_str_mv | AT yalonetzkyg testingforstochasticdominanceamongadditivemultivariatewelfarefunctionswithdiscretevariable |