Distributional Dominance with Dirty Data
Frank Cowell () and
STICERD - Distributional Analysis Research Programme Papers from Suntory and Toyota International Centres for Economics and Related Disciplines, LSE
Distributional dominance criteria are commonly applied to draw welfare inferences about comparisons, but conclusions drawn from empirical implementations of dominance criteria may be influenced by data contamination. We examine a non-parametric approach to refining Lorenz-type comparisons and apply the technique to two important examples from the LIS data-base.
Keywords: Distributional dominance; Lorenz curve; robustness. (search for similar items in EconPapers)
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Working Paper: Distributional dominance with dirty data (2001)
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Persistent link: https://EconPapers.repec.org/RePEc:cep:stidar:51
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