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Econometric Evaluation of the China-US Trade War Effects

Author

Listed:
  • Zongwu Cai

    (Department of Economics, The University of Kansas, Lawrence, KS 66045, USA)

  • Jinyan Li

    (Department of Economics, The University of Kansas, Lawrence, KS 66045, USA)

Abstract

The escalating trade war between China and the United States, 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 non-stationary 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. Furthermore, our method, compared to other approaches, demonstrates superior accuracy and reliability in illustrating the effects of the trade war.

Suggested Citation

  • Zongwu Cai & Jinyan Li, 2024. "Econometric Evaluation of the China-US Trade War Effects," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202419, University of Kansas, Department of Economics.
    • Handle: RePEc:kan:wpaper:202419
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    File URL: https://kuwpaper.ku.edu/2024Papers/202419.pdf
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    References listed on IDEAS

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    1. Bai, ChongEn & Li, Qi & Ouyang, Min, 2014. "Property taxes and home prices: A tale of two cities," Journal of Econometrics, Elsevier, vol. 180(1), pages 1-15.
    2. Larry D. Qiu & Chaoqun Zhan & Xing Wei, 2019. "An analysis of the China–US trade war through the lens of the trade literature," Economic and Political Studies, Taylor & Francis Journals, vol. 7(2), pages 148-168, April.
    3. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
    4. Kathleen T. Li, 2020. "Statistical Inference for Average Treatment Effects Estimated by Synthetic Control Methods," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(532), pages 2068-2083, December.
    5. Ouyang, Min & Peng, Yulei, 2015. "The treatment-effect estimation: A case study of the 2008 economic stimulus package of China," Journal of Econometrics, Elsevier, vol. 188(2), pages 545-557.
    6. Cheng Hsiao & H. Steve Ching & Shui Ki Wan, 2012. "A Panel Data Approach For Program Evaluation: Measuring The Benefits Of Political And Economic Integration Of Hong Kong With Mainland China," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 27(5), pages 705-740, August.
    7. Sebastien Goulard, 2020. "The Impact of the US–China Trade War on the European Union," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 12(1), pages 56-68, January.
    8. Gordon H. Hanson, 2020. "The impacts of the U.S.–China trade war," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 55(2), pages 69-72, April.
    9. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    10. Chunding Li & Chuantian He & Chuangwei Lin, 2018. "Economic Impacts of the Possible China–US Trade War," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 54(7), pages 1557-1577, May.
    11. Tao Liu & Wing Thye Woo, 2018. "Understanding the U.S.-China Trade War," China Economic Journal, Taylor & Francis Journals, vol. 11(3), pages 319-340, September.
    12. Ken Itakura, 2020. "Evaluating the Impact of the US–China Trade War," Asian Economic Policy Review, Japan Center for Economic Research, vol. 15(1), pages 77-93, January.
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    More about this item

    Keywords

    Causal inference; Counterfactual estimation; Trade balance; Trade friction; Trade war effects.;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • F51 - International Economics - - International Relations, National Security, and International Political Economy - - - International Conflicts; Negotiations; Sanctions
    • F13 - International Economics - - Trade - - - Trade Policy; International Trade Organizations

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