Dynamic multi-time regression analysis of gross domestic product in Shanghai

摘要

As an important part of the Yangtze River Delta Economic Circle (YRDEC), Shanghai is impacting other members of YRDEC in political, economic and other aspects greatly. This article used multi-regression model to research the gross domestic product (GDP) in Shang Hai, and aimed for making a deep understanding about the YRDEC. Using technical included: factors comparison and selection, the variables identified, the evaluation of calculated values, multi-layer dynamic regression analysis, and ultimately determined the related variable of GDP in Shanghai, and calculated the corresponding coefficient. This study would provide insights into the economic development and economic structure of the YRDCE, and directly promote the follow-up research on the bubble early warning management system for the YRDCE.