Chinas Gross National Income Time Series Model and Forecasting

摘要：

The time series is a series of data obtained according to time order. There is inertia, or have a slow-type, in most of the economic time series. The future values can be predicted from the historical values of the time series through the analysis of this inertia. In this paper, by taking the gross national income from 1978 to 2008 years as sample, making use of EViews6.0 software and ARMA model, the inner regularity changed in gross national income is revealed, and to extrapolate short-term prediction, obtained good results.

关键词： Time Series GNI(Gross National Income) Forecast

作者: Jin Zhang Qin Lin

作者单位: School of Computer Science and Engineering, Wuhan Institute of Technology, Wuhan, Hubei 430073 china

会议类型: 国际会议

会议名称: 2010 International Conference on Information Technology and Industrial Engineering(2010年信息技术与工业工程国际学术会议 ITIE 2010)

会议地点: 武汉

会议语种:英文

页码: 1130-1133

在线出版日期: 2010-06-06（万方平台首次上网日期，不代表论文的发表时间）