The Power-law Tail Exponent of Income Distributions

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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.
Latex2e v1.6; 8 pages with 3 figures; in press (Physica A)

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Physics and Society, Statistical Finance

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http://salesiana.dossiersoluciones.com/handle/123456789/217883

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/physics/0603061
 http://arxiv.org/abs/physics/0603061
 Physica A: Statistical and Theoretical Physics, Vol: 370, Issue 1, October 1, 2006, pp. 49-53
 doi:10.1016/j.physa.2006.04.027

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arXiv