Income distribution and inequality measurement: The problem of extreme values
We examine the statistical performance of inequality indices in the presence of extreme values in the data and show that these indices are very sensitive to the properties of the income distribution. Estimation and inference can be dramatically affected, especially when the tail of the income distribution is heavy, even when standard bootstrap methods are employed. However, use of appropriate semiparametric methods for modelling the upper tail can greatly improve the performance of even those inequality indices that are normally considered particularly sensitive to extreme values.
|Date of creation:||2007|
|Date of revision:|
|Publication status:||Published in Journal of Econometrics, Elsevier, 2007, 141 (2), pp.1044-1072. <10.1016/j.jeconom.2007.01.001>|
|Note:||View the original document on HAL open archive server: https://halshs.archives-ouvertes.fr/halshs-00176029|
|Contact details of provider:|| Web page: https://hal.archives-ouvertes.fr/|
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- Andrew Chesher & Christian Schluter, 2002.
"Welfare Measurement and Measurement Error,"
Review of Economic Studies,
Oxford University Press, vol. 69(2), pages 357-378.
- McDonald, James B, 1984. "Some Generalized Functions for the Size Distribution of Income," Econometrica, Econometric Society, vol. 52(3), pages 647-63, May.
- Frank A Cowell & Maria-Pia Victoria-Feser, 2001.
"Robust Lorenz Curves: A Semiparametric Approach,"
STICERD - Distributional Analysis Research Programme Papers
50, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Cowell, Frank A & Victoria-Feser, Maria-Pia, 1996. "Robustness Properties of Inequality Measures," Econometrica, Econometric Society, vol. 64(1), pages 77-101, January.
- Davidson, Russell & Flachaire, Emmanuel, 2007.
"Asymptotic and bootstrap inference for inequality and poverty measures,"
Journal of Econometrics,
Elsevier, vol. 141(1), pages 141-166, November.
- Russell Davidson & Emmanuel Flachaire, 2007. "Asymptotic and bootstrap inference for inequality and poverty measures," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00175929, HAL.
- Russell Davidson & Emmanuel Flachaire, 2004. "Asymptotic and bootstrap inference for inequality and poverty measures," Cahiers de la Maison des Sciences Economiques v04100, Université Panthéon-Sorbonne (Paris 1).
- Russell Davidson & Emmanuel Flachaire, 2006. "Asymptotic And Bootstrap Inference For Inequality And Poverty Measures," Departmental Working Papers 2005-06, McGill University, Department of Economics.
- Braulke, Michael, 1983. "An approximation to the Gini coefficient for a population based on sparse information for sub-groups," Journal of Development Economics, Elsevier, vol. 12(1-2), pages 75-81.
- repec:oup:restud:v:54:y:1987:i:3:p:485-97 is not listed on IDEAS
- Singh, S K & Maddala, G S, 1976. "A Function for Size Distribution of Incomes," Econometrica, Econometric Society, vol. 44(5), pages 963-70, September.
- repec:oup:restud:v:69:y:2002:i:2:p:357-78 is not listed on IDEAS
- Cowell, Frank A., 1989. "Sampling variance and decomposable inequality measures," Journal of Econometrics, Elsevier, vol. 42(1), pages 27-41, September.
- Peter Hall & Qiwei Yao, 2003. "Inference in Arch and Garch Models with Heavy--Tailed Errors," Econometrica, Econometric Society, vol. 71(1), pages 285-317, January.
- Schluter, Christian & Trede, Mark, 2002. "Tails of Lorenz curves," Journal of Econometrics, Elsevier, vol. 109(1), pages 151-166, July.
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