Variance estimation for generalized entropy and Atkinson inequality indices: The complex survey data case

Martin Biewen

German Stata Users' Group Meetings 2006 from Stata Users Group

Abstract: We derive the sampling variances of generalized entropy and Atkinson indices when estimated from complex survey data, and we show how they can be calculated straightforwardly by using widely available software. We also show that, when the same approach is used to derive variance formulae for the i.i.d. case, it leads to estimators that are simpler than those proposed before. Both cases are illustrated with a comparison of income inequality in Britain and Germany.

New Economics Papers: this item is included in nep-ecm and nep-ltv
Date: 2006-05-24

Downloads: (external link)
http://fmwww.bc.edu/repec/dsug2006/biewen.ppt

Related works:
Journal Article: Variance Estimation for Generalized Entropy and Atkinson Inequality Indices: the Complex Survey Data Case (2006)
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