A method to calculate the jackknife variance estimator for the Gini coefficient

The Gini coefficient is the most widely used measure of income inequality. Yet, estimates on its standard error are rarely published because the cost of computing it is prohibitively expensive. We present a method to compute the jackknife variance estimator of the Gini coefficient which is very efficient. The standard error may be computed with the second pass through the data.