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.

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Publication information
Department/Agency Canada. Statistics Canada. Methodology Branch.
Title Estimating the sampling variances of measures of income inequality and polarization : an empirical study / M. S. Kovacevic, W. Yung, G. S. Pandher.
Series title Working paper ; 95-7
Publication type Series - View Master Record
Language [English]
Format Electronic
Electronic document
Note(s) Digitized edition from print [produced by Statistics Canada].
"HSMD-95-007E."
"October 1995."
Includes bibliographic references.
Publishing information [Ottawa] : Statistics Canada, 1995.
Author / Contributor Kovacevic, M. S.
Yung, Wesley Thomas.
Pandher, G. S.
Description 32 p.
Catalogue number
  • CS11-619/95-7E-PDF
Departmental catalogue number 11-619E no. 95-07
Subject terms Statistical analysis
Methodology
Surveys
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