Distributional dominance with dirty data

Cowell, Frank ORCID: 0000-0002-3778-2152 and Victoria-Feser, Maria-Pia (2001) Distributional dominance with dirty data. Distributional Analysis Research Programme; DARP 51 (51). Suntory and Toyota International Centres for Economics and Related Disciplines, London, UK.

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Abstract

Distributional dominance criteria are commonly applied to draw welfare in- ferences about comparisons, but conclusions drawn from empirical imple- mentations of dominance criteria may be inßuenced by data contamination. We examine a non-parametric approach to reÞning Lorenz-type comparisons and apply the technique to two important examples from the LIS data-base.

Item Type:	Monograph (Discussion Paper)
Official URL:	http://sticerd.lse.ac.uk
Additional Information:	© 2001 Frank A. Cowell and Maria-Pia Victoria-Feser
Divisions:	Economics STICERD Centre for Analysis of Social Exclusion
Subjects:	H Social Sciences > HB Economic Theory H Social Sciences > HA Statistics
JEL classification:	C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C13 - Estimation D - Microeconomics > D6 - Welfare Economics > D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
Date Deposited:	27 Apr 2007
Last Modified:	11 Dec 2024 18:29
URI:	http://eprints.lse.ac.uk/id/eprint/2239

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