Bias correction for inequality measures: an application to China and Kenya
AbstractAn 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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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Applied Economics Letters.
Volume (Year): 9 (2002)
Issue (Month): 12 ()
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Other versions of this item:
- Breunig, Robert, 2001. "Bias Correction for Inequality Measures: An application to China and Kenya," Departmental Working Papers 2001-06, The Australian National University, Arndt-Corden Department of Economics.
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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.
- 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.
- 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.
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