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Distributional dominance with dirty data

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Distributional dominance criteria are commonly applied to draw welfare in- ferences about comparisons, but conclusions drawn from empirical imple- mentations of dominance criteria may be inßuenced by data contamination. We examine a non-parametric approach to reÞning Lorenz-type comparisons and apply the technique to two important examples from the LIS data-base.

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en

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application/pdf

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http://eprints.lse.ac.uk/2239/1/Distributional_Dominance_with_Dirty_Data.pdf

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