The Power-law Tail Exponent of Income Distributions
AbstractIn 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.
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Bibliographic InfoPaper provided by arXiv.org in its series Papers with number physics/0603061.
Date of creation: Mar 2006
Date of revision:
Publication status: Published in Physica A: Statistical and Theoretical Physics, Vol: 370, Issue 1, October 1, 2006, pp. 49-53
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Other versions of this item:
- Clementi, F. & Di Matteo, T. & Gallegati, M., 2006. "The power-law tail exponent of income distributions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 370(1), pages 49-53.
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