Time sequence analysis of CIP based on ARIMA model
Zheng Suting
Abstract
Zheng Suting
Abstract
Based on the fact that CPI can be the indicators of the price which reflects the lives of residents of goods and services related to,with the EVIEWS software,using January 1990 to July 2008 China's consumer price index monthly data,this paper creates a product seasonal ARIMA time series models and analysis of Variation which is China's consumer price index over time.The results show that the development of China's consumer price index has an obvious trend and seasonal.According to the results and the practical suggestions,the government's policy must follow the objective principle.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Based on the fact that CPI can be the indicators of the price which reflects the lives of residents of goods and services related to,with the EVIEWS software,using January 1990 to July 2008 China's consumer price index monthly data,this paper creates a product seasonal ARIMA time series models and analysis of Variation which is China's consumer price index over time.The results show that the development of China's consumer price index has an obvious trend and seasonal.According to the results and the practical suggestions,the government's policy must follow the objective principle.
Key concepts: Autoregressive integrated moving average, China, Index (typography), Time series, Consumer price index (South Africa), Price index, Econometrics, Government (linguistics)