Economic Forecasting Based on Time Series Analysis

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 223)


To analyze and formulate economic development target and policy, predicting the future value of China’s per capita GDP is very important. The economic time series will be pretreated for constructing prediction model by statistical software SPSS and Views through exponential smoothing method and ARIMA model. The conclusion is that China’s per capita GDP from 2012 to 2016 was predicted. Statistical results show that China’s per capita GDP is steadily improving.


Per capita GDP Exponential smoothing method ARIMA model 


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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of International tradeZhengzhou Shengda College of Economics and Trade ManagementZhengzhouChina

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