Cargando…

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

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 compu...

Descripción completa

Detalles Bibliográficos
Autores principales: Darkwah, Kwasi A., Nortey, Ezekiel N. N., Lotsi, Anani
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4963343/
https://www.ncbi.nlm.nih.gov/pubmed/27516934
http://dx.doi.org/10.1186/s40064-016-2868-z
_version_ 1782444940180062208
author Darkwah, Kwasi A.
Nortey, Ezekiel N. N.
Lotsi, Anani
author_facet Darkwah, Kwasi A.
Nortey, Ezekiel N. N.
Lotsi, Anani
author_sort Darkwah, Kwasi A.
collection PubMed
description 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 %.
format Online
Article
Text
id pubmed-4963343
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-49633432016-08-11 Estimation of the Gini coefficient for the lognormal distribution of income using the Lorenz curve Darkwah, Kwasi A. Nortey, Ezekiel N. N. Lotsi, Anani Springerplus Research 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 %. Springer International Publishing 2016-07-28 /pmc/articles/PMC4963343/ /pubmed/27516934 http://dx.doi.org/10.1186/s40064-016-2868-z Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Research
Darkwah, Kwasi A.
Nortey, Ezekiel N. N.
Lotsi, Anani
Estimation of the Gini coefficient for the lognormal distribution of income using the Lorenz curve
title Estimation of the Gini coefficient for the lognormal distribution of income using the Lorenz curve
title_full Estimation of the Gini coefficient for the lognormal distribution of income using the Lorenz curve
title_fullStr Estimation of the Gini coefficient for the lognormal distribution of income using the Lorenz curve
title_full_unstemmed Estimation of the Gini coefficient for the lognormal distribution of income using the Lorenz curve
title_short Estimation of the Gini coefficient for the lognormal distribution of income using the Lorenz curve
title_sort estimation of the gini coefficient for the lognormal distribution of income using the lorenz curve
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4963343/
https://www.ncbi.nlm.nih.gov/pubmed/27516934
http://dx.doi.org/10.1186/s40064-016-2868-z
work_keys_str_mv AT darkwahkwasia estimationoftheginicoefficientforthelognormaldistributionofincomeusingthelorenzcurve
AT norteyezekielnn estimationoftheginicoefficientforthelognormaldistributionofincomeusingthelorenzcurve
AT lotsianani estimationoftheginicoefficientforthelognormaldistributionofincomeusingthelorenzcurve