SKEWNESS AND KURTOSIS PROPERTIES OF INCOME DISTRIBUTION MODELS

被引：26
|
作者：
McDonald, James B. [1 ]
Sorensen, Jeff [2 ]
Turley, Patrick A. [3 ]
机构：
[1] Brigham Young Univ, Provo, UT 84602 USA
[2] Univ Calif Berkeley, Berkeley, CA 94720 USA
[3] Harvard Univ, Cambridge, MA 02138 USA
来源：
REVIEW OF INCOME AND WEALTH | 2013年 / 59卷 / 02期
基金：
美国国家科学基金会;
关键词：
skewness; kurtosis; generalized beta type 2 distribution; generalized gamma distribution; SIZE DISTRIBUTION; BURR;
D O I：
10.1111/j.1475-4991.2011.00478.x
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
This paper explores the ability of some popular income distributions to model observed skewness and kurtosis. We present the generalized beta type 1 (GB1) and type 2 (GB2) distributions' skewnesskurtosis spaces and clarify and expand on previously known results on other distributions' skewnesskurtosis spaces. Data from the Luxembourg Income Study are used to estimate sample moments and explore the ability of the generalized gamma, Dagum, SinghMaddala, beta of the first kind, beta of the second kind, GB1, and GB2 distributions to accommodate the skewness and kurtosis values. The GB2 has the flexibility to accurately describe the observed skewness and kurtosis.
引用
收藏
页码：360 / 374
页数：15
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