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我国居民消费价格波动和预测:1997-2010
引用本文:桂文林,韩兆洲.我国居民消费价格波动和预测:1997-2010[J].统计研究,2010,27(8):48-55.
作者姓名:桂文林  韩兆洲
作者单位:1. 惠州学院
2. 暨南大学统计系
基金项目:广东省哲学社会科学基金,广东省自然科学基金 
摘    要: CPI与人们的生活息息相关,同时也是经济分析和决策、价格监测和调控及国民经济核算的重要指标。本文以1997年1月至2009年12月我国衣食住行及城乡分类月度定基CPI数据为样本,在分析其波动特征及差异的基础上,通过指数平滑法的Holt-Winters模型将其分解为季节和趋势波动。结果表明,我国分类CPI各自具有明显的趋势和季节特征,并得出其波峰和波谷到达时间;模型对其有非常好的拟合效果,其MAPE依次为0.253%、0.816%、0.364%、0.359%、0.391%、0.338%。在此基础上对我国2010年各月的分类CPI进行了科学预测。

关 键 词:CPI  Holt-Winters模型  季节因素  预测  

China's Consumer Price Fluctuation and Forecast: 1997-2010
Gui Wenlin,Han Zhaozhou.China's Consumer Price Fluctuation and Forecast: 1997-2010[J].Statistical Research,2010,27(8):48-55.
Authors:Gui Wenlin  Han Zhaozhou
Abstract:CPI are relation to people’s daily lives, but also an important indicator of economic analysis and decision-making, price monitoring and regulation, national economic accounting. In the paper, we take China’s clothing, food, housing, transportation and urban &; rural fixed time classified monthly CPI data from Jan 1997 to Dec 2009 for samples. On the basis of analyzing their fluctuation characteristics, by exponential smoothing method of Holt-Winters model they will be decomposed into seasonal and trend volatility. The results show that classified CPI have a clear trend and seasonal characteristics differently, and further get the arrival time of peaks and troughs. Model has very good fitting results for them. The MAPE are 0.253%、0.816%、0.364%、0.359%、0.391%、0.338%. On this basis, we conduct a scientific prediction for classified CPI each month of China in 2010.
Keywords:CPI
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