Measuring Significance of Inequalities with Heterogeneous Groups and Income Sources
AbstractThe 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.
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Bibliographic InfoPaper provided by Departement d'Economique de la Faculte d'administration à l'Universite de Sherbrooke in its series Cahiers de recherche with number 06-13.
Length: 17 pages
Date of creation: 2006
Date of revision:
Inequalities; Complex surveys; Multi-decomposition; Stratified bootstrap;
Find related papers by JEL classification:
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
This paper has been announced in the following NEP Reports:
- NEP-ALL-2006-04-22 (All new papers)
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