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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.
Year of publication:
2006-03
Authors: Clementi, F. ; Matteo, T. Di ; Gallegati, M.
Institutions: arXiv.org
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application/pdf
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Type of publication: Book / Working Paper
Notes:
Published in Physica A: Statistical and Theoretical Physics, Vol: 370, Issue 1, October 1, 2006, pp. 49-53
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Persistent link: https://www.econbiz.de/10005098653
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