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

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  • Stephen Jenkins

    (University of Essex)

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.

Suggested Citation

  • Stephen Jenkins, 2005. "Estimation of inequality indices from survey data, allowing for design effects," United Kingdom Stata Users' Group Meetings 2005 07, Stata Users Group.
    • Handle: RePEc:boc:usug05:07
    as

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    References listed on IDEAS

    as
    1. P. Jenkins, Stephen & A. Cowell, Frank, 2000. "Estimating welfare indices: household weights and sample design," ISER Working Paper Series 2000-23, Institute for Social and Economic Research.
    2. Thistle, Paul D, 1990. "Large Sample Properties of Two Inequality Indices," Econometrica, Econometric Society, vol. 58(3), pages 725-728, May.
    3. 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.
    4. Cowell, Frank A., 1989. "Sampling variance and decomposable inequality measures," Journal of Econometrics, Elsevier, vol. 42(1), pages 27-41, September.
    5. 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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