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Estimation of inequality indices from survey data, allowing for design effects

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Stephen Jenkins () (University of Essex)

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Abstract

Martin 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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Paper provided by Stata Users Group in its series United Kingdom Stata Users' Group Meetings 2005 with number 07.

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Date of creation: 03 Mar 2005
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Handle: RePEc:boc:usug05:07

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  1. Biewen, Martin, 2002. "Bootstrap inference for inequality, mobility and poverty measurement," Journal of Econometrics, Elsevier, vol. 108(2), pages 317-342, June. [Downloadable!] (restricted)
  2. Cowell, Frank A., 1989. "Sampling variance and decomposable inequality measures," Journal of Econometrics, Elsevier, vol. 42(1), pages 27-41, September. [Downloadable!] (restricted)
  3. Thistle, Paul D, 1990. "Large Sample Properties of Two Inequality Indices," Econometrica, Econometric Society, vol. 58(3), pages 725-28, May. [Downloadable!] (restricted)
  4. 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. [Downloadable!]
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