Estimation of Generalized Entropy and Atkinson inequality indices from survey data
Applying a method suggested by Woodruff (Journal of the American Statistical Association, 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.
|Date of creation:||01 Apr 2003|
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- Thistle, Paul D, 1990. "Large Sample Properties of Two Inequality Indices," Econometrica, Econometric Society, vol. 58(3), pages 725-28, May.
- Biewen, Martin, 2002. "Bootstrap inference for inequality, mobility and poverty measurement," Journal of Econometrics, Elsevier, vol. 108(2), pages 317-342, June.
- 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.
- Frank Cowell & Stephen P Jenkins, 2000. "Estimating welfare indices : household weights and sample design," LSE Research Online Documents on Economics 2160, London School of Economics and Political Science, LSE Library.
- Cowell, Frank A. & Jenkins, Stephen P., 2000. "Estimating welfare indices: household weights and sample design," ISER Working Paper Series 2000-23, Institute for Social and Economic Research.
- Cowell, Frank A., 1989. "Sampling variance and decomposable inequality measures," Journal of Econometrics, Elsevier, vol. 42(1), pages 27-41, September.
- Christian Schluter & Mark Trede, 2002. "Statistical Inference for Inequality and Poverty Measurement with Dependent Data," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 43(2), pages 493-508, May.
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