| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 978535 | Physica A: Statistical Mechanics and its Applications | 2006 | 5 Pages |
Abstract
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 minimizing 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.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Mathematical Physics
Authors
F. Clementi, T. Di Matteo, M. Gallegati,