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The estimation of Gini coefficients from grouped data : Upper and Lower Bounds

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  • Fuller, Mike

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  • Fuller, Mike, 1979. "The estimation of Gini coefficients from grouped data : Upper and Lower Bounds," Economics Letters, Elsevier, vol. 3(2), pages 187-192.
    • Handle: RePEc:eee:ecolet:v:3:y:1979:i:2:p:187-192
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    Cited by:

    1. Yves Tillé, 2016. "The legacy of Corrado Gini in survey sampling and inequality theory," METRON, Springer;Sapienza Università di Roma, vol. 74(2), pages 167-176, August.
    2. Clémentine Cottineau & Olivier Finance & Erez Hatna & Elsa Arcaute & Michael Batty, 2019. "Defining urban clusters to detect agglomeration economies," Environment and Planning B, , vol. 46(9), pages 1611-1626, November.
    3. Dario Debowicz & Alejandro Saporiti & Yizhi Wang, 2021. "Redistribution, power sharing and inequality concern," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 57(2), pages 197-228, August.
    4. Ogwang, Tomson & Gouranga Rao, U. L., 1996. "A new functional form for approximating the Lorenz curve," Economics Letters, Elsevier, vol. 52(1), pages 21-29, July.
    5. Tom Van Ourti & Philip Clarke, 2008. "The Bias of the Gini Coefficient due to Grouping," Tinbergen Institute Discussion Papers 08-095/3, Tinbergen Institute.
    6. Andreas Kuhn, 2020. "The individual (mis-)perception of wage inequality: measurement, correlates and implications," Empirical Economics, Springer, vol. 59(5), pages 2039-2069, November.

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