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
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)
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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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