The Power-law Tail Exponent of Income Distributions

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dc.creatorClementi, F.
dc.creatorDi Matteo, T.
dc.creatorGallegati, M.
dc.date2006-03-08
dc.date.accessioned2026-07-07T12:35:48Z
dc.date.available2026-07-07T12:35:48Z
dc.descriptionIn 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.
dc.descriptionLatex2e v1.6; 8 pages with 3 figures; in press (Physica A)
dc.identifierhttps://arxiv.org/abs/physics/0603061
dc.identifierhttp://arxiv.org/abs/physics/0603061
dc.identifierPhysica A: Statistical and Theoretical Physics, Vol: 370, Issue 1, October 1, 2006, pp. 49-53
dc.identifierdoi:10.1016/j.physa.2006.04.027
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/217883
dc.subjectPhysics and Society
dc.subjectStatistical Finance
dc.titleThe Power-law Tail Exponent of Income Distributions
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