摘要
本文在收入分布的基础上讨论了基尼系数估算的问题。相比以往研究,本文最大的特点是基于微观数据的收入分布非参数拟合,并利用非参数拟合优度检验的方法对拟合效果进行了验证,结果表明非参数估计的收入分布能跟准确的刻画收入分布的各种特征,拟合效果也更好。在准确拟合收入分布的基础上估算基尼系数,结果表明,城镇和农村居民的收入不平等在增加,而且在1997年后,这种恶化的趋势有所加剧。
The paper studies how to calculate Cini index based on income distribution. Compared to previous study, The characters in the paper are the nonparametric estimation of income distribution using microscopic data and testing the fitting effect with nonparametric test. The result indicates that the nonparametric estimation can depict various features of income distribution and have a very well fitting effect. Based on the income distribution, the paper also calculates Gini index. The result indicates that the income inequality of urban and rural residents are increasing continuously especially after 1997.
出处
《数理统计与管理》
CSSCI
北大核心
2013年第4期627-633,共7页
Journal of Applied Statistics and Management
基金
浙江省教育厅项目资助(Z201120441)
浙江省高校人文社科重点研究基地(统计学)资助
浙江省统计局项目资助
关键词
参数估计
核密度估计
基尼系数
K—S检验
parametric estimation, kernel density estimation, Gini index, K-S tests
