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.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
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)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Stephane Mussard, 2004. "The bidimensional decomposition of the Gini ratio. A case study: Italy," Applied Economics Letters, Taylor and Francis Journals, vol. 11(8), pages 503-505.
- Martin Biewen & Stephen P. Jenkins, 2006.
"Variance Estimation for Generalized Entropy and Atkinson Inequality Indices: the Complex Survey Data Case,"
Oxford Bulletin of Economics and Statistics,
Department of Economics, University of Oxford, vol. 68(3), pages 371-383, 06.
- Martin Biewen, 2006. "Variance estimation for generalized entropy and Atkinson inequality indices: The complex survey data case," German Stata Users' Group Meetings 2006 04, Stata Users Group.
- George Athanasopoulos & Farshid Vahid, 2003.
"Statistical Inference and Changes in Income Inequality in Australia,"
The Economic Record,
The Economic Society of Australia, vol. 79(247), pages 412-424, December.
- George Athanasopoulos & Farshid Vahid, 2002. "Statistical Inference on Changes in Income Inequality in Australia," Monash Econometrics and Business Statistics Working Papers 9/02, Monash University, Department of Econometrics and Business Statistics.
- Cowell, Frank A., 1989. "Sampling variance and decomposable inequality measures," Journal of Econometrics, Elsevier, vol. 42(1), pages 27-41, September.
- Xu, Kuan, 2000. "Inference for Generalized Gini Indices Using the Iterated-Bootstrap Method," Journal of Business & Economic Statistics, American Statistical Association, vol. 18(2), pages 223-27, April.
- Cowell, Frank A, 1984. "The Structure of American Income Inequality," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 30(3), pages 351-75, September.
- Jeffrey A. Mills & Sourushe Zandvakili, 1999.
"Statistical Inference via Bootstrapping for Measures of Inequality,"
- Mills, Jeffrey A & Zandvakili, Sourushe, 1997. "Statistical Inference via Bootstrapping for Measures of Inequality," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(2), pages 133-50, March-Apr.
- Biewen, Martin, 2002. "Bootstrap inference for inequality, mobility and poverty measurement," Journal of Econometrics, Elsevier, vol. 108(2), pages 317-342, June.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Luc Savard).
If references are entirely missing, you can add them using this form.