Distributional Dominance with Dirty Data, (published in Journal of Business and Economic Statistics, vol. 24 (2006), pp. 291-300)
Frank A Cowell and Maria-Pia Victoria-Feser
Published August 2001
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.
Paper Number DARP 051:
Download PDF - Distributional Dominance with Dirty Data, (published in Journal of Business and Economic Statistics, vol. 24 (2006), pp. 291-300)