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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- 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.
- Jeffrey A. Mills & Sourushe Zandvakili, 1999. "Statistical Inference via Bootstrapping for Measures of Inequality," Macroeconomics 9902003, EconWPA.
- Biewen, Martin, 2002. "Bootstrap inference for inequality, mobility and poverty measurement," Journal of Econometrics, Elsevier, vol. 108(2), pages 317-342, June.
- 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.
- 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.
- 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.
- 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.
- 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.
- Stephane Mussard, 2004. "The bidimensional decomposition of the Gini ratio. A case study: Italy," Applied Economics Letters, Taylor & Francis Journals, vol. 11(8), pages 503-505.
- Cowell, Frank A., 1989. "Sampling variance and decomposable inequality measures," Journal of Econometrics, Elsevier, vol. 42(1), pages 27-41, September.
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