Estimation of Inequality Indices of the Cumulative Distribution Function

Ramses H Abul Naga* (Corresponding Author), Christopher Stapenhurst

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)
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Inequality indices for self-assessed health and life satisfaction are typically constructed as functions of the cumulative distribution function. We present a unified methodology for the estimation of the resulting inequality indices. We also obtain explicit standard error formulas in the context of two popular families of inequality indices that have emerged from this literature.
Original languageEnglish
Pages (from-to)109-112
Number of pages4
JournalEconomics Letters
Early online date8 Mar 2015
Publication statusPublished - May 2015

Bibliographical note

This work has been carried out thanks to the support of the A*MIDEX project (No. ANR-11-IDEX-0001-02) funded by the “Investissements d’Avenir” French Government program, managed by the French National Research Agency (ANR). The views in this paper do not necessarily reflect the official views, endorsed or currently used methods of the Office for National Statistics. We are grateful to an anonymous reviewer for helpful comments. We are responsible for any errors.


  • ordered response data
  • self-assessed health
  • multinominal sampling
  • large sample distributions
  • standard errors


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