Before revision:  Second, we show how the maximum likelihood estimator outperforms the non-parametric requiring a much smaller sample size to reach efficiency.
After revision:  Second, we show how the nonparametric Gini bias increases with lower values of \alpha. We then prove that maximum likelihood estimation outperforms nonparametric methods, requiring a much smaller sample size to reach efficiency.