基于伽马模型的中等收入定位与人口度量模型研究
PDF下载 (354)徐思军,张晓敏*,商金耀,王立洪.基于伽马模型的中等收入定位与人口度量模型研究[J].宁波大学学报(理工版),2015,28(03):53-56.DOI:
XU Si-jun,ZHANG Xiao-min*,SHANG Jin-yao,WANG Li-hong.Middle-income Positioning and Population Metrics Based on Gamma Model[J].Journal of Ningbo University(Natural Science & Engineering Edition),2015,28(03):53-56.DOI:
| Title: | Middle-income Positioning and Population Metrics Based on Gamma Model |
| 作者: | 徐思军, 张晓敏*, 商金耀, 王立洪 |
| Author(s): | XU Si-jun, ZHANG Xiao-min*, SHANG Jin-yao, WANG Li-hong |
| 关键词: | 洛伦兹曲线; Gamma分布; 随机模拟; 最大似然估计 |
| Keywords: | Lorenz curve; Gamma distribution; stochastic simulation; maximum likelihood estimation |
| 分类号: | O213.9 |
| 文献标识码: | A |
| 摘要: | 主要运用Gamma分布模型刻画收入分配结构及描述洛伦兹曲线, 较好地反映了社会收入分配的公平程度. 利用随机模拟和最大似然方法求得Gamma分布的参数估计, 同时对收入空间法和人口空间法进行了改进, 并将改进的方法对实际数据进行处理, 得到了针对每组数据的中等收入区间. |
| Abstract: | In this paper, the Gamma distribution model is mainly used to characterize the income distribution structure and describe the Lorenz curve, which well reflects the fairness of the distribution of social income. The stochastic simulation and maximum likelihood estimation method are utilized to obtain Gamma distribution, and to improve both the income space method and the population space method. The presented methods are applied to process the real data and the middle-income range is obtained in accordance with each data group. |
| 参考文献 /References: | [1] Chotikapanich D, Rao D S P, Tang K K. Estimating income inequality in China using grouped data and the generalized Beta distribution[J]. The Review of Income and Wealth, 2007, 53(1):127-147. [2]Foster J E, Wolfson M C. Polarization and the decline of the middle class: Canada and the U.S.[J]. Journal of Economic Inequality, 2009(8):247-273. |
| 备注/Memo: | 收稿日期: 2014?10?08. 宁波大学学报（理工版）网址: http://journallg.nbu.edu.cn/ 基金项目: 国家自然科学基金（11271210）; 宁波大学研究生专业选修课程建设项目（ZDKC2013009）. 第一作者: 徐思军（1989－）, 男, 安徽芜湖人, 在读硕士研究生, 主要研究方向: 精算科学与金融数学. E-mail: 804487007@qq.com *通信作者: 张晓敏（1977－）, 男, 湖北鄂州人, 博士/副教授, 主要研究方向: 精算科学与金融数学. E-mail: zhangxiaomin@nbu.edu.cn 宁波大学学报（理工版）网址：http://journallg.nbu.edu.cn/ |
