摘要
人均GDP是了解和把握一个国家或地区的宏观经济运行状况的有效工具,是最重要的宏观经济指标之一,本文以北京、广州、成都三个经济中心城市为研究对象,全面地筛选具有代表性的经济指标为解释变量,通过对模型检验及主成分回归法对模型进行补救,得到了经济意义较为显著的模型,并就模型结果进行了进一步分析,得到了如何合理调配人员以促进经济发展的具有学术意义的结论。
GDP per capita is an effective tool to understand and grasp the macroeconomic situation of a country or region, and is one of the most important macroeconomic indicators. This paper takes Beijing, Guangzhou and Chengdu as the research objects. The representative economic indexes were screened as explanatory variables. The model was remedied by the principal component regression method, and finally a model with significant economic significance was obtained. The results of the model are further analyzed, and the conclusion of how to rationally deploy personnel to promote economic development is obtained.
作者
刘金明
陈绍刚
LIU Jin-ming;CHEN Shao-gang(School of Mathematical Sciences UESTC,Chengdu 611731,China)
出处
《价值工程》
2018年第23期109-112,共4页
Value Engineering
关键词
人均GDP
OLS参数估计
计量经济分析
主成分回归
GDP per capita
OLS parameter estimation
econometric analysis
principal component regression
