The Gini Methodology
By Shlomo Yitzhaki, Edna Schechtman. 2013
188 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/3cde84ca04426bfc1e8c13442119054ae1d30c7a
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Citations in the corpus
- Measuring regional inequality: to weight or not to weight? (2018, background): “…Computing the Theil index for continuous distribution, we also obtain its weighted version:∫1 0 (y/E0(y)) ln ((y/E0(y))g0(y)dy = Thw. Expressing the Gini index as (Yitzhaki & Schechtman, 2013, pp. 15–16 and 26): (1/E0(y)) ∫1 0 F0(y)(1− F0(y))dy, where F0(y) is the cumulative distribution function,…”
- WEALTH INEQUALITY: A SURVEY (2015, unknown): “…similar formulation of the standard Gini coefficient (10) which can be rewritten as IGini(F ) = 1 2µ (F ) ¨ | [w − µ (F )]− [w′ − µ (F )] |dF (w) dF (w′) (26) where, again, µ is the overall mean wealth (see, e.g., Yitzhaki and Schechtman (2013) on alternative formulations of the Gini coefficient).”