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Estimation of inequality and concentration measures from grouped observations

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  • Hoffmann, Rodolfo

Abstract

It is shown how the linear density function can always be used to estimate the within group inequality when computing inequality or concentration measures from grouped observations. The value of Cowell and Mehta's D-measure is analysed and new support is presented for their 1/3 and 2/3 rule.

Suggested Citation

  • Hoffmann, Rodolfo, 1984. "Estimation of inequality and concentration measures from grouped observations," Brazilian Review of Econometrics, Sociedade Brasileira de Econometria - SBE, vol. 4(1), April.
    • Handle: RePEc:sbe:breart:v:4:y:1984:i:1:a:3142
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    File URL: https://periodicos.fgv.br/bre/article/view/3142
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    Cited by:

    1. Ni, Huan & Paul, Jomon Aliyas & Bagchi, Aniruddha, 2017. "Effect of Certificate of Need Law on the intensity of competition: The market for emergency care," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 34-48.
    2. Irving Fisher Committee, 2013. "Proceedings of the Sixth IFC Conference on "Statistical issues and activities in a changing environment", Basel, 28-29 August 2012," IFC Bulletins, Bank for International Settlements, number 36, July.
    3. Fernando Ávila & Emilio Flores & Fabrizio López-Gallo & Javier Márquez, 2013. "Concentration indicators: assessing the gap between aggregate and detailed data," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Proceedings of the Sixth IFC Conference on "Statistical issues and activities in a changing environment", Basel, 28-29 August 2012., volume 36, pages 542-559, Bank for International Settlements.

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