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

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Author Info
Martin Biewen
Stephen P. Jenkins

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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. Copyright 2006 Blackwell Publishing Ltd.

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File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1468-0084.2006.00166.x
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Publisher Info
Article provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics and Statistics.

Volume (Year): 68 (2006)
Issue (Month): 3 (06)
Pages: 371-383
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Handle: RePEc:bla:obuest:v:68:y:2006:i:3:p:371-383

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  1. Stephen P. Jenkins & John Micklewright, 2007. "New Directions in the Analysis of Inequality and Poverty," Working Papers 71, ECINEQ, Society for the Study of Economic Inequality. [Downloadable!]
    Other versions:
  2. Judith A. Clarke & Nilanjana Roy, 2009. "On Statistical Inference for Inequality Measures Calculated from Complex Survey Data," Econometrics Working Papers 0904, Department of Economics, University of Victoria. [Downloadable!]
  3. Jenkins, Stephen P. & Burkhauser, Richard V. & Feng, Shuaizhang & Larrimore, Jeff, 2009. "Measuring Inequality Using Censored Data: A Multiple Imputation Approach," IZA Discussion Papers 4011, Institute for the Study of Labor (IZA). [Downloadable!]
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  4. Stéphane Mussard & Pi Alperin María Noel, 2006. "Measuring Significance of Inequalities with Heterogeneous Groups and Income Sources," Cahiers de recherche 06-13, Departement d'Economique de la Faculte d'administration à l'Universite de Sherbrooke. [Downloadable!]
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