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

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  • Duangkamon Chotikapanich
  • D. S. Prasada Rao
  • Kam Ki Tang

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.

Suggested Citation

  • Duangkamon Chotikapanich & D. S. Prasada Rao & Kam Ki Tang, 2006. "Estimating Income Inequality in China Using Grouped Data and the Generalized Beta Distribution," WIDER Working Paper Series RP2006-134, World Institute for Development Economic Research (UNU-WIDER).
    • Handle: RePEc:unu:wpaper:rp2006-134
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    References listed on IDEAS

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