Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/211221
Authors: 
Li, Qinghai
Li, Shi
Wan, Haiyuan
Year of Publication: 
2018
Series/Report no.: 
WIDER Working Paper No. 2018/183
Abstract: 
With the data on the top incomes collected from different sources, we combine the samples of the top incomes with a household survey to investigate changes in the income distribution with and without the top incomes. The Gini coefficient of income inequality using household survey data is 0.464 for 2016, and it jumps to 0.646 after including the samples of the top incomes, which demonstrates the great importance of the top incomes in estimating income inequality.
Subjects: 
top incomes
Pareto distribution
income inequality
JEL: 
C46
D31
D63
O15
Persistent Identifier of the first edition: 
ISBN: 
978-92-9256-625-8
Document Type: 
Working Paper

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