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I'm comparing two Gini results from two distributions of income, in which one income is a source of the other. Let, say that Gini_1 = 0,770 and Gini_2 = 0,373. Clearly, Gini_2 shows a less inequal income distribution than Gini_1. However, what more can we say about that? I'm expecting to find an answer such as this one:

What does an increase of 5 Gini points mean substantively? In a two-person cake sharing game, an increase of 5 Gini points means that the person receiving the smaller slice at t would receive two and a half percent less cake at t+1.

This was paraphrased from:

  • Subramanian, S. 2002. “An Elementary Interpretation of the Gini Inequality Index.” Theory and Decision, 52: 375–379.

(Does anyone have a digital copy of this reference?)

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    Your question is not very clear. Do you want to compare two Gini coefficients? This could be done with a bootstrapped confidence interval of the difference. Or you simply want to know how to interpret the difference between the two Gini coefficients? – Giuseppe Biondi-Zoccai Feb 09 '17 at 17:53
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    Probably you are interested in this paper link with title "Jackknife empirical likelihood for comparing two Gini indices" – lzstat Feb 15 '17 at 05:07
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    Thank you both @Joe_74 and @lzstat! The methods and the paper you suggested to me have answered my question. – eagu_999 Feb 19 '17 at 15:58

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