Bias Correction for Inequality Measures: An application to China and Kenya
AbstractThis article applies an analytical bias correction technique for inequality measures to income data from China and Kenya. We use the coefficient of variation squared and illustrate 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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Bibliographic InfoPaper provided by The Australian National University, Arndt-Corden Department of Economics in its series Departmental Working Papers with number 2001-06.
Length: 12 pages
Date of creation: 2001
Date of revision:
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Coefficient of variation; small sample bias correction; inequality measurement;
Other versions of this item:
- 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.
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- 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,
Kiel Institute for the World Economy, vol. 5(1), pages 1-14.
- W. Robert Reed & Rachel S. Webb, 2009. "Estimating Standard Errors For The Parks Model: Can Jackknifing Help?," Working Papers in Economics 09/18, University of Canterbury, Department of Economics and Finance.
- Reed, W. Robert & Webb, Rachel S., 2010. "Estimating standard errors for the Parks model: Can jackknifing help?," Economics Discussion Papers 2010-23, Kiel Institute for the World Economy.
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