Estimation of Generalized Entropy and Atkinson Inequality Indices from Complex Survey Data
Applying a method suggested by Woodruff (1971), we derive the sampling variances of Generalized Entropy and Atkinson inequality indices when estimated from complex survey data. It turns out that this method also greatly simplifies the calculations for the i.i.d. case when compared to previous derivations in the literature. Both cases are illustrated with examples from the German Socio-Economic Panel Study and the British Household Panel Survey.
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"Estimating welfare indices : household weights and sample design,"
LSE Research Online Documents on Economics
2160, London School of Economics and Political Science, LSE Library.
- Frank A. Cowell & Stephen P. Jenkins, 2000. "Estimating Welfare Indices: Household Weights and Sample Design," Discussion Papers of DIW Berlin 219, DIW Berlin, German Institute for Economic Research.
- Frank A Cowell & Stephen P Jenkins, 2000. "Estimating Welfare Indices: Household Weights and Sample Design," STICERD - Distributional Analysis Research Programme Papers 48, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
- Biewen, Martin, 2002. "Bootstrap inference for inequality, mobility and poverty measurement," Journal of Econometrics, Elsevier, vol. 108(2), pages 317-342, June.
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