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Inequality measures based on log power function-lognormal composite distribution.
- Source :
- Applied Economics Letters; Feb2024, Vol. 31 Issue 3, p236-241, 6p
- Publication Year :
- 2024
-
Abstract
- In this paper, we examine trends in inequality of Chinese rural household income from 1989 through 2015 using log power function lognormal composite distribution. Six inequality measures, Gini coefficient, Generalized entropy index, Theil's entropy index, Atkinson index, Bonferroni index, and Zenga index, were computed by numerical methods. The results show that the all the inequality measures exhibit a similar pattern, and a steadily increased tendency through a slight slowdown for some in the time period of our analysis. [ABSTRACT FROM AUTHOR]
- Subjects :
- GINI coefficient
LOGNORMAL distribution
INCOME distribution
INCOME inequality
Subjects
Details
- Language :
- English
- ISSN :
- 13504851
- Volume :
- 31
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- Applied Economics Letters
- Publication Type :
- Academic Journal
- Accession number :
- 174582603
- Full Text :
- https://doi.org/10.1080/13504851.2022.2130862