There are two main types of data sources of income distributions in China: household survey data and grouped data. Household survey data are typically available for isolated years and individual provinces. In comparison, aggregate or grouped data are typically available more frequently and usually have national coverage. In principle, grouped data allow investigation of the change of inequality over longer, continuous periods of time, and the identification of patterns of inequality across broader regions. Nevertheless, a major limitation of grouped data is that only mean (average) income and income shares of quintile or decile groups of the population are reported. Directly using grouped data reported in this format is equivalent to assuming that all individuals in a quintile or …
- Publisher:
-
UNU-WIDER
- Series:
- WIDER Research Paper
- Volume:
- 2006/134
- Title:
- Estimating Income Inequality in China Using Grouped Data and the Generalized Beta Distribution
- Authors:
- Duangkamon Chotikapanich, D.S. Prasada Rao, and Kam Ki Tang
- Publication date:
- 2006
- ISSN Web:
- 1810-2611
- ISBN Web:
- 9291909181
- ISBN 13 Web:
- 9789291909186
- Copyright holder:
- © UNU-WIDER
- Copyright year:
- 2006
- Keywords:
- Gini coefficient, generalized beta distribution, urban and rural inequality
- JEL:
- D31, C13, C16
- Project:
-
Inequality and Poverty in China
- Sponsor:
- The governments of Denmark (Royal Ministry of Foreign Affairs), Finland (Ministry for Foreign Affairs), Norway (Royal Ministry of Foreign Affairs), Sweden (Swedish International Development Cooperation Agency-Sida) and the United Kingdom (Department for International Development).
- Format:
- online