Estimation of the Gini coefficient for the lognormal distribution of income using the Lorenz curve

Kwasi A. Darkwah, Ezekiel N.N. Nortey, Anane Lotsi

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

Abstract

The main objective of the study is to compare the Newton–Cotes methods such as the Trapezium rule, Simpson 1/3 rule and Simpson 3/8 rule to estimate the area under the Lorenz curve and Gini coefficient of income using polynomial function with degree 5. Comparing the Gini coefficients of income computed from the Polynomial function with degree 5 for the Trapezium, Simpson 1/3 and Simpson 3/8 methods using the relative errors showed that the trapezium rule, Simpson’s 1/3 rule and Simpson’s 3/8 rule show negative biases with the Simpson 1/3 rule yielding the lowest absolute relative true error of 4.230711 %.

Original languageEnglish
Article number1196
JournalSpringerPlus
Volume5
Issue number1
DOIs
Publication statusPublished - 1 Dec 2016

Keywords

  • Gini coefficient
  • Income distribution
  • Lognormal distribution
  • Lorenz curve
  • Newton–Cotes methods

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