Bias correction for inequality measures: An application to China and Kenya
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Bruenig, Robert
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Crawford School of Public Policy, The Australian National University
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This 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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Working papers in trade and development
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