Robust Lorenz Curves: A Semiparametric Approach
Lorenz curves and second-order dominance criteria are known to be sensitive to data contamination in the right tail of the distribution. We propose two ways of dealing with the problem: (1) Estimate Lorenz curves using parametric models for income distributions, and (2) Combine empirical estimation with a parametric (robust) estimation of the upper tail of the distribution using the Pareto model. Approach (2) is preferred because of its flexibility. Using simulations we show the dramatic effect of a few contaminated data on the Lorenz ranking and the performance of the robust approach (2). Statistical inference tools are also provided.
|Date of creation:||May 2001|
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- Frank A Cowell & Maria-Pia Victoria-Feser, 2001.
"Distributional Dominance with Dirty Data,"
STICERD - Distributional Analysis Research Programme Papers
51, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- McDonald, James B & Ransom, Michael R, 1979. "Functional Forms, Estimation Techniques and the Distribution of Income," Econometrica, Econometric Society, vol. 47(6), pages 1513-1525, November.
- Frank A Cowell & Maria-Pia Victoria-Feser, 1996. "Welfare Judgements in the Presence Contaminated Data," STICERD - Distributional Analysis Research Programme Papers 13, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Moyes, Patrick, 1987. "A new concept of Lorenz domination," Economics Letters, Elsevier, vol. 23(2), pages 203-207.
- Frank Cowell & Maria-Pia Victoria-Feser, 1999.
"Statistical inference for welfare under complete and incomplete information,"
LSE Research Online Documents on Economics
2054, London School of Economics and Political Science, LSE Library.
- Frank A Cowell & Maria-Pia Victoria-Feser, 1999. "Statistical Inference for Welfare under Complete and Incomplete Information," STICERD - Distributional Analysis Research Programme Papers 47, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Frank A. Cowell & Maria-Pia Victoria-Feser, 2002. "Welfare Rankings in the Presence of Contaminated Data," Econometrica, Econometric Society, vol. 70(3), pages 1221-1233, May.
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