Nonparametric Test for Income Distribution Function: Case of China

摘要：

Different distribution function may lead to different density function and different Gini coefficient. In this paper, we mainly focus on the property of distribution functions for their goodness of fit and their accuracy of Gini coefficient. The empirical research basing on the household income of China Health and Nutrition Survey shows: Normal distribution, lognormal distribution and the exponential distribution reject the null hypothesis of Kolmogorov–Smirnov test; while the generalized logistic distribution accepts the null hypothesis of Kolmogorov–Smirnov test, and its Gini coefficient is in accordance with the benchmark.

关键词： Income Distribution Nonparametric Test Gini Coefficient

作者: ZHANG Shangfeng XU Bing LIU Haiyan

作者单位: Department of Statistics, Zhejiang Gongshang University, P.R.China

会议类型: 国际会议

会议名称: 2009 International Institute of Applied Statistics Studies(2009 国际应用统计学术研讨会)

会议地点: 青岛

会议语种:英文

页码: 1-4

在线出版日期: 2009-07-25（万方平台首次上网日期，不代表论文的发表时间）