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A Note on Computing the Gini Inequality Measure with Weighted Data

Author

Listed:
  • Creedy, John
Abstract
This note sets out some basic results regarding calculation of the Gini measure and its standard error in the context of cross-sectional micro-datasets where sample weights are provided for aggregation from sample to population values.

Suggested Citation

  • Creedy, John, 2015. "A Note on Computing the Gini Inequality Measure with Weighted Data," Working Paper Series 19268, Victoria University of Wellington, Chair in Public Finance.
  • Handle: RePEc:vuw:vuwcpf:19268
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    File URL: https://ir.wgtn.ac.nz/handle/123456789/19268
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    References listed on IDEAS

    as
    1. Lerman, Robert I. & Yitzhaki, Shlomo, 1989. "Improving the accuracy of estimates of Gini coefficients," Journal of Econometrics, Elsevier, vol. 42(1), pages 43-47, September.
    2. Kakwani, Nanak & Wagstaff, Adam & van Doorslaer, Eddy, 1997. "Socioeconomic inequalities in health: Measurement, computation, and statistical inference," Journal of Econometrics, Elsevier, vol. 77(1), pages 87-103, March.
    Full references (including those not matched with items on IDEAS)

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