Estimating Income Inequality in China Using Grouped Data and the Generalized Beta Distribution

Duangkamon Chotikapanich, D.S. Prasada Rao () and Kam Ki Tang

No RP2006-134, WIDER Working Paper Series from World Institute for Development Economic Research (UNU-WIDER)

Abstract: 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.

Keywords: Distribution; Equality and inequality; Income distribution; Regional economics (search for similar items in EconPapers)
Date: 2006
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (8)

Downloads: (external link)
https://www.wider.unu.edu/sites/default/files/rp2006-134.pdf (application/pdf)

Related works:
Journal Article: ESTIMATING INCOME INEQUALITY IN CHINA USING GROUPED DATA AND THE GENERALIZED BETA DISTRIBUTION (2007)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:unu:wpaper:rp2006-134

Access Statistics for this paper

More papers in WIDER Working Paper Series from World Institute for Development Economic Research (UNU-WIDER) Contact information at EDIRC.
Bibliographic data for series maintained by Siméon Rapin ().