基于时间序列分析的上海人均GDP预测研究

Per Capita GDP Prediction Research of Shanghai Bases on Time Series Analysis

摘要: 上海作为我国的重要的金融中心城市，研究其人均GDP的发展状况具有重要的现实意义。文章采用时间序列分析方法，根据1978~2014年的上海人均GDP数据，借助Eviews软件选择出最优的数据模型。通过所建立的模型预测2015~2018年的数据，并结合分析的结果，给出相关的建议。

Abstract: Shanghai is an important financial center city in our country, researching the development of its per capita GDP has important significance. According to the Shanghai per capita GDP from 1978 to 2014 and with the aid of Eviews software, this article uses the time series analysis method, and chooses the optimal data model. Then the data from 2015 to 2018 is predicted by the established model and some relevant suggestions are given by the analysis of the results.