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.

Distributional Analysis: a Robust Approach / Frank Cowell; Maria-Pia Victoria Feser. - STAMPA. - (2000), pp. 1-51.

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.
2000
Putting Economics To Work
1
51
Distributional Analysis: a Robust Approach / Frank Cowell; Maria-Pia Victoria Feser. - STAMPA. - (2000), pp. 1-51.
Frank Cowell; Maria-Pia Victoria Feser
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/952929
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