PRACTITIONERS' CORNER Calculating a Standard Error for the Gini Coefficient: Some Further Results*

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Reliable Inference for the Gini Index (2009, methodology): “Giles (2004) uses his proposed methods, including the jackknife, in order to estimate the Gini index and associated standard error for consumption data for 133 countries, data extracted from the Penn World Tables; see Summers and Heston (1995).”
Variance estimation of the Gini index: revisiting a result several times published (2013, methodology): “As a consequence, the same ‘mistakes’ have been reproduced when tackling the problem, an example being the recent regression-based variance estimator that was suggested by Giles (2004).”