The escalating trade war between China and the US, initiated in 2018, has significantly impacted the trade pattern of these two nations. This event can be treated as an intervention which has led to a series of retaliatory actions, resulting in substantial economic and trade frictions between the two largest economies. This paper aims to analyze the economic impacts of the trade war effects using advanced econometric techniques. Our empirical study employs panel data analysis combined with a factor model, inspired by the methodologies of Hsiao, Ching and Wan (2012) and Bai, Li and Ouyang (2014), to construct trade patterns for both China and the US. By using annual trade data from multiple countries as a control group, we construct counterfactual results for China’s and the US’s imports, exports, and trade balance, respectively. Under a nonstationary setting, the counterfactual results indicate a significant decline in China’s exports and a notable reduction in its trade surplus with the US post-2018. Meanwhile, US imports from China decreased, aligning with the trade war’s goal of reducing the trade deficit, while US exports to China unexpectedly increased, possibly influenced by the Phase One trade agreement. We also perform a dynamic permutation test on treatment effects over time, which ensures the rigor and significance of our analysis, reinforcing the reliability of the estimated effects. Finally, we conduct an empirical comparative analysis with alternative methods to demonstrate that our chosen approach is particularly well-suited to the context of this study.
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