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has been cited by the following article:

• TITLE: The Impact of the US Election on the US Economy and China’s Economy and the Countermeasures

  AUTHORS: Xiaojuan Xi, Danni Xiao

  KEYWORDS: Log-Linear Regression, Gray Scale Prediction, Election, Economics; Epidemic Situation

  JOURNAL NAME: Open Journal of Social Sciences, Vol.9 No.2, February 26, 2021

  ABSTRACT: The US economy and the global economy are affected by the US election. Based on the log-linear model and grey prediction model, this paper quantitatively analyzes the impact of different presidential candidates on the US economy and China’s economy. First, we establish a mathematical model and use relevant data to quantitatively analyze the possible impact of different candidates elected on the U.S. economy. Then we establish a mathematical model and use relevant data to quantitatively analyze the possible impact of different candidates elected on China’s economy. Finally, we combine these two mathematical models and put forward some suggestions on China’s economic countermeasures and policies in the relevant fields under these two situations.