dorsal/arxiv
View SchemaThe Power-law Tail Exponent of Income Distributions
| Authors | F. Clementi, T. Di Matteo, M. Gallegati |
|---|---|
| Categories | |
| ArXiv ID | physics/0603061 |
| URL | https://arxiv.org/abs/physics/0603061 |
| DOI | 10.1016/j.physa.2006.04.027 |
| Journal | Physica A: Statistical and Theoretical Physics, Vol: 370, Issue 1, October 1, 2006, pp. 49-53 |
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.
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"abstract": "In this paper we tackle the problem of estimating the power-law tail exponent\nof income distributions by using the Hill\u0027s estimator. A subsample\nsemi-parametric bootstrap procedure minimising the mean squared error is used\nto choose the power-law cutoff value optimally. This technique is applied to\npersonal income data for Australia and Italy.",
"arxiv_id": "physics/0603061",
"authors": [
"F. Clementi",
"T. Di Matteo",
"M. Gallegati"
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"physics.soc-ph",
"q-fin.ST"
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"doi": "10.1016/j.physa.2006.04.027",
"journal_ref": "Physica A: Statistical and Theoretical Physics, Vol: 370, Issue 1,\n October 1, 2006, pp. 49-53",
"title": "The Power-law Tail Exponent of Income Distributions",
"url": "https://arxiv.org/abs/physics/0603061"
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