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

  • Martin Biewen

    ()

    (University of Frankfurt)

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.

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File URL: http://fmwww.bc.edu/repec/dsug2006/biewen.ppt
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Paper provided by Stata Users Group in its series German Stata Users' Group Meetings 2006 with number 04.

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Date of creation: 24 May 2006
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Handle: RePEc:boc:dsug06:04
Contact details of provider: Web page: http://www.stata.com/meeting/4german

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