A Simple and Practical Method of Calculating the Gini Coefficient

Xia DONG, Feng XU, Shiqiang ZHANG

Abstract


The Gini coefficient is a way to describe socio-economic phenomena by mathematical model. Using an improved approximation regression method to estimate Gini coefficient in the model parameters. The regression accuracy of non-linear mathematical model seeked by improved method was significantly improved when compared with which seeked by the original approximation regression method. The normal equation derived from improved method which remains its convenient using advantages was just weighted from the normal equation derived from the original method.


Keywords


Gini coefficient; Lorenz curve; Power function model

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References


[1] Chen, X. R. (2004). Gini coefficient and its estimation. Statistical Research, (8), 58-60.

[2] Chen, Z. Q., & Chen, J. D. (2006). Gini coefficient and its estimation. Journal of Beijing University, 42(5), 613-618.

[3] Zhang, S. Q. (2002). Approach on the fitting optimization index of curve regression. Chinese Journal of Health Statistics, 19(1), 9-11.

[4] Wang ,Y. M. (2010). Comparison of the calculation method of Gini coefficient. Statistics and Decision, (5), 157-159.

[5] Nuria, B. P. (2003). Approximation of Gini index from grouped data. Working Paper.

[6] Kakwani, T. (2007). An analysis of the impancts of development on Gini inequality using grouped and individual observations: Examples from the 1998 vietnamese household expenditure data. Journal of Asian Economics, 18.




DOI: http://dx.doi.org/10.3968/5510

DOI (PDF): http://dx.doi.org/10.3968/pdf_12

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