 Top-income data and income inequality correction in ChinaChengyou Li, Yangcheng Yu and Qinghai Li Economic Modelling, 2021, vol. 97, issue C, 210-219 Abstract: This paper estimates the level of income inequality of Chinese residents by combining data from the 2013 Chinese Household Income Project (CHIP 2013) and the Top Incomes in China in 2013 (TIC 2013). Specifically, we apply a Pareto model and a parametric bootstrap method to correct for missing top incomes in the CHIP 2013. After connecting the two datasets, we find that the level of income inequality measured by the Gini coefficient and top income share increases significantly compared with the CHIP2013 data. These conclusions are supported by robustness checks based on other household survey (HS) data and techniques (the expansion method and the direct splicing method). Our results not only facilitate understanding of China’s true level of income inequality, but also provide evidence for income-related policies. It is essential, therefore, that we collect top-income data in China and connect it with the HS data. Keywords: Top incomes; Pareto model; Parametric bootstrap; Income inequality (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:97:y:2021:i:c:p:210-219 DOI: 10.1016/j.econmod.2021.01.018 Access Statistics for this article Economic Modelling is currently edited by S. Hall and P. Pauly More articles in Economic Modelling from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.