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Bias correction for inequality measures: an application to China and Kenya

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  • Robert Breunig

Abstract

An analytical bias correction technique for inequality measures is applied to income data from China and Kenya. The coefficient of variation squared is used and it is illustrated how the bias is downward for positively skewed distributions. The analytical bias correction technique is then compared to a jackknife estimator in a simulation exercise. The bias will be important, even for moderately large sample sizes.

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  • Robert Breunig, 2002. "Bias correction for inequality measures: an application to China and Kenya," Applied Economics Letters, Taylor & Francis Journals, vol. 9(12), pages 783-786.
    • Handle: RePEc:taf:apeclt:v:9:y:2002:i:12:p:783-786
    DOI: 10.1080/13504850210165856
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    Cited by:

    1. Reed, W. Robert & Webb, Rachel S., 2011. "Estimating standard errors for the Parks model: Can jackknifing help?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 5, pages 1-14.
    2. Maria Rosaria Ferrante & Silvia Pacei, 2019. "Small Sample Bias Corrections for Entropy Inequality Measures," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 9(3), pages 78-80, April.

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