Inequality measures based on log power function-lognormal composite distribution

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.