A robust semi-parametric approach for measuring income inequality in Malaysia

被引:15
|
作者
Safari, Muhammad Aslam Mohd [1 ]
Masseran, Nurulkamal [1 ]
Ibrahim, Kamarulzaman [1 ]
机构
[1] Univ Kebangsaan Malaysia, Fac Sci & Technol, Sch Math Sci, Bangi 43600, Selangor, Malaysia
关键词
Income distribution; Pareto distribution; Power-law; Probability integral transform statistics; Semi-parametric model; Survey samples; TAIL INDEX ESTIMATION; POWER LAWS; PARETO; DISTRIBUTIONS; CRIME; RICH;
D O I
10.1016/j.physa.2018.08.029
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In this study, a robust semi-parametric approach which involves combining the empirical distribution and Pareto model is applied for measuring the income distribution in Malaysia based on the survey data of household incomes for the years of 2007, 2009, 2012 and 2014. From our analysis, it is found that the Pareto model is well fitted to the top household incomes for all years considered, suggesting that this model is a suitable parametric distribution to describe the top household incomes in Malaysia. Based on the semi-parametric Gini, generalized entropy and Atkinson indices, it is found that the income inequality shows a decreasing trend over the period, indicating an improvement of income distribution in Malaysia. Moreover, the fitted semi-parametric Lorenz curves show that the economic pie of the high income group reduced slightly after being taken up by the low income group while there is no clear change for the middle household income group. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:1 / 13
页数:13
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