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Measuring Significance of Inequalities with Heterogeneous Groups and Income Sources

Stéphane Mussard () and Maria Pi Alperin ()

Cahiers de recherche from Departement d'Economique de l'École de gestion à l'Université de Sherbrooke

Abstract: The aim of this paper is threefold. First, we propose a bidimensional decomposition of the Gini ratio that combines two decomposition techniques of inequality measurement in a bivariate distribution context. Usually decomposed measures of inequality are gauged to be significant or not, using non-stratified bootstrap techniques. Second, we show, with an illustrative example on the Italian survey on household’s income and wealth, that the stratified bootstrap yields less distortion in estimated parameters. Finally, a brief review of the well-known confidence intervals follows.

Keywords: Inequalities; Complex surveys; Multi-decomposition; Stratified bootstrap (search for similar items in EconPapers)
JEL-codes: C14 D31 (search for similar items in EconPapers)
Date: 2006
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http://gredi.recherche.usherbrooke.ca/wpapers/GREDI-0613.pdf First version, 2006 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:shr:wpaper:06-13

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