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 show the conditions under which this may occur and propose empirical methods to work round the problem using both non-parametric and parametric approaches.
Frank Cowell, Maria-Pia Victoria Feser (2000). Distributional Analysis: a Robust Approach. London : STICERD.
Distributional Analysis: a Robust Approach
Maria-Pia Victoria Feser
2000
Abstract
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 show the conditions under which this may occur and propose empirical methods to work round the problem using both non-parametric and parametric approaches.File in questo prodotto:
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