Estimation of Inequality Indices of the Cumulative Distribution Function

Ramses H Abul Naga, Christopher Stapenhurst

Research output: Contribution to journalArticle

2 Citations (Scopus)
9 Downloads (Pure)

Abstract

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
Volume130
Issue numberc
Early online date8 Mar 2015
DOIs
Publication statusPublished - May 2015

Fingerprint

Inequality indices
Distribution function
Life satisfaction
Methodology
Standard error
Self-assessed health

Keywords

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

Cite this

Estimation of Inequality Indices of the Cumulative Distribution Function. / Abul Naga, Ramses H; Stapenhurst, Christopher.

In: Economics Letters, Vol. 130, No. c, 05.2015, p. 109-112.

Research output: Contribution to journalArticle

Abul Naga, Ramses H ; Stapenhurst, Christopher. / Estimation of Inequality Indices of the Cumulative Distribution Function. In: Economics Letters. 2015 ; Vol. 130, No. c. pp. 109-112.
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