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Variance Estimation for Generalized Entropy and Atkinson Inequality Indices: the Complex Survey Data Case*

Martin Biewen and Stephen Jenkins

Oxford Bulletin of Economics and Statistics, 2006, vol. 68, issue 3, 371-383

Abstract: We derive the sampling variances of generalized entropy and Atkinson indices when estimated from complex survey data, and show how they can be calculated straightforwardly using widely available software. We also show that, when the same approach is used to derive variance formulae for the independent and identically distributed case, it leads to estimators that are simpler than those proposed before. Both cases are illustrated with a comparison of income inequality in Britain and Germany.

Date: 2006
References: View complete reference list from CitEc
Citations: View citations in EconPapers (35)

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https://doi.org/10.1111/j.1468-0084.2006.00166.x

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Working Paper: Variance estimation for generalized entropy and Atkinson inequality indices: The complex survey data case (2006) Downloads
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Oxford Bulletin of Economics and Statistics is currently edited by Christopher Adam, Anindya Banerjee, Christopher Bowdler, David Hendry, Adriaan Kalwij, John Knight and Jonathan Temple

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