Analysis on the Development Trend of Per Capita GDP in Yunnan Province Based on Quantile Regression

被引：0
|
作者：
Yang, Yong-sheng [1 ]
Li, Li [1 ,2 ,3 ]
Xiao, Lei [4 ,5 ]
机构：
[1] Yunnan Normal Univ, Pan Asia Business Sch, Kunming, Yunnan, Peoples R China
[2] Yunnan Assoc Promot Transasian Financial Cooperat, Kunming, Yunnan, Peoples R China
[3] Champ Property & Casualty Insurance Co Ltd, Kunming, Yunnan, Peoples R China
[4] Kunming Univ, Sch Marxism Studies, Kunming, Yunnan, Peoples R China
[5] Kunming Univ, Res Ctr Socialism Chinese Characterist, Kunming, Yunnan, Peoples R China
来源：
4TH INTERNATIONAL CONFERENCE ON ECONOMICS AND MANAGEMENT (ICEM) | 2017年
关键词：
Quantile Regression; Per Capita GDP; AR Model; Least Squares Regression;
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Per capita GDP is an important index to measure the level of economic development and comprehensive economic strength of a country or region. In this paper, the quantile regression method is used to analyze the temporal data of per capita GDP in Yunnan province, and the quantile regression model of per capita GDP development in Yunnan province is established to comprehensively analyze the economic development of Yunnan province. The results show that with the increase of the quantile level and the number of prediction periods, the relative error of the quantile regression model is gradually reduced, the model fitting effect is better than the linear regression model and the time series model, and the quantile regression has good ability of prediction.
引用
收藏
页码：165 / 169
页数：5
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