01841cam 2200349za 45009.841021CaOODSP20221107152003cr |||||||||||170803s1995 onc |o f|0| 0 eng dCaOODSPengn-cn---CS11-619/95-7E-PDFKovacevic, 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 ; 95-7Digitized 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.gccstStatistical analysisgccstMethodologygccstSurveysYung, Wesley Thomas.Pandher, G. S.Canada. Statistics Canada. Methodology Branch.Working paper (Statistics Canada. Methodology Branch)95-7(CaOODSP)9.834763PDF4.17 MBhttps://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-619-95-7-eng.pdf