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008170803s1995    onc    |o    f|0| 0 eng d
040 |aCaOODSP|beng
043 |an-cn---
0861 |aCS11-619/95-7E-PDF
1001 |aKovacevic, M. S.
24510|aEstimating the sampling variances of measures of income inequality and polarization |h[electronic resource] : |ban empirical study / |cM. S. Kovacevic, W. Yung, G. S. Pandher.
260 |a[Ottawa] : |bStatistics Canada, |c1995.
300 |a32 p.
4901 |aWorking paper ; |v95-7
500 |aDigitized edition from print [produced by Statistics Canada].
500 |a"HSMD-95-007E."
500 |a"October 1995."
504 |aIncludes bibliographic references.
516 |aElectronic monograph in PDF format.
5203 |a"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.
591##|aStatCan
69207|2gccst|aStatistical analysis
69207|2gccst|aMethodology
69207|2gccst|aSurveys
7001 |aYung, Wesley Thomas.
7001 |aPandher, G. S.
7101 |aCanada. |bStatistics Canada. |bMethodology Branch.
830#0|aWorking paper (Statistics Canada. Methodology Branch) ; |v95-7|w(CaOODSP)9.834763
85640|qPDF|s4.17 MB|uhttp://publications.gc.ca/collections/collection_2017/statcan/11-613/CS11-619-95-7-eng.pdf