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A Cautionary Note on Estimating the Standard Error of the Gini Index of Inequality: Comment

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  • David E. A. Giles

Abstract

We observe that care must be taken when using a regression‐based approach to construct a standard error for the Gini coefficient.

Suggested Citation

  • David E. A. Giles, 2006. "A Cautionary Note on Estimating the Standard Error of the Gini Index of Inequality: Comment," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 68(3), pages 395-396, June.
  • Handle: RePEc:bla:obuest:v:68:y:2006:i:3:p:395-396
    DOI: 10.1111/j.1468-0084.2006.00169.x
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    Cited by:

    1. Davidson, Russell, 2009. "Reliable inference for the Gini index," Journal of Econometrics, Elsevier, vol. 150(1), pages 30-40, May.
    2. Alfred Ultsch & Jörn Lötsch, 2017. "A data science based standardized Gini index as a Lorenz dominance preserving measure of the inequality of distributions," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-15, August.
    3. Wang, Dongliang & Zhao, Yichuan & Gilmore, Dirk W., 2016. "Jackknife empirical likelihood confidence interval for the Gini index," Statistics & Probability Letters, Elsevier, vol. 110(C), pages 289-295.
    4. Dejian Lai & Jin Huang & Jan Risser & Asha Kapadia, 2008. "Statistical Properties of Generalized Gini Coefficient with Application to Health Inequality Measurement," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 87(2), pages 249-258, June.

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