Welfare Rankings in the Presence of Contaminated Data

Posted: 4 Sep 2002

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

Abstract

Stochastic dominance criteria are commonly used to draw welfare-theoretic inferences about comparisons of income distribution as well as ranking probability distributions in the analysis of choice under uncertainty. However, just as some measures of location and dispersion can be catastrophically sensitive to extreme values in the data it is also possible that conclusions drawn from empirical implementations of dominance criteria are unduly influenced by data contamination. We show the conditions under which this may occur for a number of standard dominance tools used in welfare analysis.

Suggested Citation

Cowell, Frank A. and Victoria-Feser, Maria-Pia, Welfare Rankings in the Presence of Contaminated Data. Econometrica, Vol. 70, Pp. 1221-1233, 2002. Available at SSRN: https://ssrn.com/abstract=312472

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

Abstract Views
536
PlumX Metrics