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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.

Permanent link to this Catalogue record:
publications.gc.ca/pub?id=9.841021&sl=0

Publication information
Department/Agency
  • Canada. Statistics Canada. Methodology Branch.
TitleEstimating 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 typeMonograph - View Master Record
Language[English]
FormatDigital text
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.
Description32 p.
Catalogue number
  • CS11-619/95-7E-PDF
Departmental catalogue number11-619E no. 95-07
Subject terms
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