00000nam 2200000za 4500 9.841021 CaOODSP 20221107152003 cr ||||||||||| 170803s1995 onc |o f|0| 0 eng d CaOODSP eng n-cn--- CS11-619/95-7E-PDF Kovacevic, M. S. Estimating the sampling variances of measures of income inequality and polarization [electronic resource] : an empirical study / M. S. Kovacevic, W. Yung, G. S. Pandher. [Ottawa] : Statistics Canada, 1995. 32 p. Working paper ; 95-7 Digitized edition from print [produced by Statistics Canada]. "HSMD-95-007E." "October 1995." Includes bibliographic references. "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. gccst Statistical analysis gccst Methodology gccst Surveys Yung, Wesley Thomas. Pandher, G. S. Canada. Statistics Canada. Methodology Branch. Working paper (Statistics Canada. Methodology Branch) 95-7 (CaOODSP)9.834763 PDF 4.17 MB https://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-619-95-7-eng.pdf 11-619E no. 95-07