That is to say that the Gini does not allow one to capture whether the inequality is driven at the top or the bottom of the distribution which may be relevant for policy. The more disperse the distribution, the higher the sum of the differences from the mean, therefore the higher the index. More precisely the Theil index is a weighted sum of the log ratios of each observation.