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Inequality measures based on log power function-lognormal composite distribution

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  • Chao Wang

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.

Suggested Citation

  • Chao Wang, 2024. "Inequality measures based on log power function-lognormal composite distribution," Applied Economics Letters, Taylor & Francis Journals, vol. 31(3), pages 236-241, February.
  • Handle: RePEc:taf:apeclt:v:31:y:2024:i:3:p:236-241
    DOI: 10.1080/13504851.2022.2130862
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