Estimation of inequality indices from survey data, allowing for design effects
AbstractMartin Biewen and I have derived the sampling variances of Generalized Entropy and Atkinson indices for the case they are estimated from survey data with a complex design. This talk illustrates how the indices may calculated in Stata, using our commands -svyatk- and -svygei-. The empirical illustrations compare income inequality in Britain and Germany.
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Bibliographic InfoPaper provided by Stata Users Group in its series United Kingdom Stata Users' Group Meetings 2005 with number 07.
Date of creation: 03 Mar 2005
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-03-06 (All new papers)
- NEP-BEC-2005-03-06 (Business Economics)
- NEP-LTV-2005-03-06 (Unemployment, Inequality & Poverty)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
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- 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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