Abstract

There are in the literature many different formulae and methodologies for deriving and decomposing Gini coefficients. Needless to say, different methodologies have their own advantages and limitations. Some Gini formulae are unnecessarily complicated and impractical. Some are biased estimators and/or not decomposable. This paper presents a simple and exact formula and develops a systematic procedure for decomposition by population class and income source in a spreadsheet without using matrix algebra, integration, regression and covariances. The Gini formula and decomposition method can be used for individual data and for evenly or unevenly grouped data. Many complicated concepts regarding the Gini and its components are given an intuitive economic interpretation. A household survey data set for Sichuan, China, is used to demonstrate, step by step, how the methodology is applied in empirical analyses.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.