The power-law tail exponent of income distributions

被引：39

作者：

Clementi, F.

Di Matteo, T.

Gallegati, M.

机构：

[1] Univ Roma La Sapienza, Dept Publ Econ, I-00161 Rome, Italy

[2] Australian Natl Univ, Res Sch Phys Sci & Engn, Canberra, ACT 0200, Australia

[3] Univ Politecn Marche, Dept Econ, I-60121 Ancona, Italy

来源：

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS | 2006年 / 370卷 / 01期

基金：

澳大利亚研究理事会;

关键词：

personal income; Pareto's index; Hill's estimator; bootstrap;

D O I：

10.1016/j.physa.2006.04.027

中图分类号：

O4 [物理学];

学科分类号：

0702 ;

摘要：

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. (c) 2006 Elsevier B.V. All rights reserved.

引用

页码：49 / 53

页数：5

共 14 条

[1] Power law tails in the Italian personal income distribution [J].