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中国城镇居民消费函数的非参数模型
引用本文:姜爱平,张德生,武新乾,陈战波.中国城镇居民消费函数的非参数模型[J].海南师范大学学报(自然科学版),2006,19(3):214-218.
作者姓名:姜爱平  张德生  武新乾  陈战波
作者单位:1. 西安理工大学理学院,陕西,西安,710054
2. 西北工业大学,陕西,西安,710072
摘    要:利用2001-01 ̄2005-11我国城镇居民人均可支配收入与消费性支出的月度数据,建立了我国城镇居民消费的非参数模型,并用不变窗宽的核估计、不变窗宽的局部线性估计、k-近邻估计、正交序列估计以及线性最小二乘估计分别进行了拟合和预测,结果表明:非线性模型优于线性模型;在4种非线性估计方法中,局部线性估计方法优于其它3种估计方法.

关 键 词:城镇居民消费  非参数模型  局部线性估计  窗宽
文章编号:1671-8747(2006)03-0214-05
修稿时间:2006年7月2日

The nonparametric model of consumption functions of urban residents in China
JIANG Ai-ping,ZHANG De-sheng,WU Xin-qian,CHEN Zhan-bo.The nonparametric model of consumption functions of urban residents in China[J].Journal of Hainan Normal University:Natural Science,2006,19(3):214-218.
Authors:JIANG Ai-ping  ZHANG De-sheng  WU Xin-qian  CHEN Zhan-bo
Abstract:The nonparametric model of consumption functions of China's urban residents was established by using the monthly data of the controllable income and consumption expenditure in 2001-01--2005-11, and the kernel estimation with fixed bandwidth, the local linear estimation with fixed bandwidth, the k-neighbour estimation, the series estimation and OLS estimation methods were used to estimate the regressive function respectively. The result showed that the local linear estimation method is better than any other method and the nonlinear model is better than the linear model.
Keywords:urban residents' consumption  non-parametric model  the local linear estimation  bandwidth
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