摘要
将函数性典型相关分析方法应用于城镇居民家庭人均可支配收入与消费性支出的共变模式研究,发现城镇居民家庭收入和消费之间的相关形式在不同收入的地区之间存在着差异,不同收入水平的地区应实施不同的收入和消费政策。同时,通过研究也验证了函数性典型相关分析方法在经济数据分析中具有良好的性质,可挖掘出一些用传统方法不易识别的经济规律。
In the paper the method of functional canonical correlation analysis (FCCA) is applied into analyzing covering models between annual income per capita and living expenditure of urban households. We find that there are different relation modes between income and consumption in different regions. And then, we verify that FCCA has good properties and significance in analyzing economic data and can mine economic laws which cannot be easily found with traditional methods.
出处
《郑州航空工业管理学院学报》
2010年第4期20-26,共7页
Journal of Zhengzhou University of Aeronautics
关键词
消费函数
面板数据
曲线相关
典型相关分析
consumption function
panel data
correlation between curves
canonical correlation analysis