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Calculating a Standard Error for the Gini Coefficient: Some Further Results: Reply

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  • Tomson Ogwang

Abstract

The potential shortcomings of the regression (or stochastic) approach for computing exact standard errors of the Gini coefficient using ordinary least squares or weighted least squares are pointed out.

Suggested Citation

  • Tomson Ogwang, 2004. "Calculating a Standard Error for the Gini Coefficient: Some Further Results: Reply," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 66(3), pages 435-437, July.
    • Handle: RePEc:bla:obuest:v:66:y:2004:i:3:p:435-437
    DOI: 10.1111/j.1468-0084.2004.00087.x
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    Cited by:

    1. Ogwang, Tomson, 2007. "Additional properties of a linear pen's parade for individual data using the stochastic approach to the Gini index," Economics Letters, Elsevier, vol. 96(3), pages 369-374, September.
    2. Kuan Xu, 2007. "U-Statistics and Their Asymptotic Results for Some Inequality and Poverty Measures," Econometric Reviews, Taylor & Francis Journals, vol. 26(5), pages 567-577.
    3. Parola, Francesco & Veenstra, Albert W., 2008. "The spatial coverage of shipping lines and container terminal operators," Journal of Transport Geography, Elsevier, vol. 16(4), pages 292-299.
    4. Davidson, Russell, 2009. "Reliable inference for the Gini index," Journal of Econometrics, Elsevier, vol. 150(1), pages 30-40, May.

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