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Distributional dominance with dirty data

Cowell, Frank 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 School of Economics and Political Science, 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
Library of Congress subject classification: H Social Sciences > HB Economic Theory
H Social Sciences > HA Statistics
Journal of Economic Literature Classification System: 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
Sets: Collections > Economists Online
Departments > Economics
Research centres and groups > Suntory and Toyota International Centres for Economics and Related Disciplines (STICERD)
Research centres and groups > Centre for Analysis of Social Exclusion (CASE)
Rights: http://www.lse.ac.uk/library/usingTheLibrary/academicSupport/OA/depositYourResearch.aspx
Identification Number: 51
Date Deposited: 27 Apr 2007
URL: http://eprints.lse.ac.uk/2239/

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