Estimating the sampling variances of measures of income inequality and polarization : an empirical study / M. S. Kovacevic, W. Yung, G. S. Pandher. : CS11-619/95-7E-PDF
"Measures of income inequality and polarization are non-linear statistics which depend on quantiles and the distribution function. Their variances are not expressible in simple formulae and one has to rely on approximate variance estimation techniques. The performance of different methods of variance estimation was investigated empirically in a simulation study based on the Canadian Survey of Consumer Finance. We concentrated on the accuracy, precision and the normal confidence interval properties of the variance estimators"--Abstract.
Lien permanent pour cette publication :
publications.gc.ca/pub?id=9.841021&sl=1
| Ministère/Organisme | Canada. Statistics Canada. Methodology Branch. |
|---|---|
| Titre | Estimating the sampling variances of measures of income inequality and polarization : an empirical study / M. S. Kovacevic, W. Yung, G. S. Pandher. |
| Titre de la série | Working paper ; 95-7 |
| Type de publication | Série - Voir l'enregistrement principal |
| Langue | [Anglais] |
| Format | Électronique |
| Document électronique | |
| Note(s) | Digitized edition from print [produced by Statistics Canada]. "HSMD-95-007E." "October 1995." Includes bibliographic references. |
| Information sur la publication | [Ottawa] : Statistics Canada, 1995. |
| Auteur / Contributeur | Kovacevic, M. S. Yung, Wesley Thomas. Pandher, G. S. |
| Description | 32 p. |
| Numéro de catalogue |
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| Numéro de catalogue du ministère | 11-619E no. 95-07 |
| Descripteurs | Statistical analysis Methodology Surveys |
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