Distributional Dominance with Dirty Data

30 Pages Posted: 21 Feb 2008

See all articles by Frank Cowell

Frank Cowell

London School of Economics & Political Science (LSE) - Suntory and Toyota International Centres for Economics and Related Disciplines (STICERD)

Maria-Pia Victoria-Feser

University of Geneva - HEC

Date Written: August 2001

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 examine a non-parametric approach to refining Lorenz-type comparisons and apply the technique to two important examples from the LIS data-base.

Suggested Citation

Cowell, Frank A. and Victoria-Feser, Maria-Pia, Distributional Dominance with Dirty Data (August 2001). LSE STICERD Research Paper No. 51. Available at SSRN: https://ssrn.com/abstract=1094799

Frank A. Cowell (Contact Author)

London School of Economics & Political Science (LSE) - Suntory and Toyota International Centres for Economics and Related Disciplines (STICERD) ( email )

Houghton Street
London WC2A 2AE
United Kingdom
+44 (0)171-955 7277 (Phone)
+44 (0)171-242 2357 (Fax)

Maria-Pia Victoria-Feser

University of Geneva - HEC ( email )

40 Boulevard du Pont d'Arve
Geneva 4, 1211
Switzerland

Register to save articles to
your library

Register

Paper statistics

Downloads
22
Abstract Views
376
PlumX Metrics