The Power-law Tail Exponent of Income Distributions

Fabio Clementi, T. Di Matteo and Mauro Gallegati

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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 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.

Date: 2006-03
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Citations: View citations in EconPapers (20)

Published in Physica A: Statistical and Theoretical Physics, Vol: 370, Issue 1, October 1, 2006, pp. 49-53

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Journal Article: The power-law tail exponent of income distributions (2006)
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:physics/0603061

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