The Power-law Tail Exponent of Income Distributions
  In this paper we tackle the problem of estimating the power-law tail exponent of income distributions by using the Hill's estimator. A subsample semi-parametric bootstrap procedure minimising the mean squared error is used to choose the power-law cutoff value optimally. This technique is applied to personal income data for Australia and Italy. 
F. Clementi, T. Di Matteo, M. Gallegati