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US-China Tariff War: A Gravity Approach

Author

Listed:
  • Sina E. Charandabi
  • Farnaz Ghashami
  • Kamyar Kamyar

Abstract

Trade wars occur as a consequence of countries imposing tariffs and/or other trade barriers on one another. Such phenomenon is often a result of nationalism, unilateralism, and protectionism, and intensifies due to retaliation by different sides of the war. We use recent multinational trade data to measure the effects of single- and multi-sided tariffs on international trade. The methodology used in the paper is the structural Gravity model first introduced by Anderson and van Wincoop (2003). Theoretical implications and references of gravity equations are also presented throughout the article.

Suggested Citation

  • Sina E. Charandabi & Farnaz Ghashami & Kamyar Kamyar, 2021. "US-China Tariff War: A Gravity Approach," Business and Economic Research, Macrothink Institute, vol. 11(3), pages 69-77, December.
  • Handle: RePEc:mth:ber888:v:11:y:2021:i:3:p:69-77
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    References listed on IDEAS

    as
    1. James E. Anderson & Eric van Wincoop, 2003. "Gravity with Gravitas: A Solution to the Border Puzzle," American Economic Review, American Economic Association, vol. 93(1), pages 170-192, March.
    2. Redding, Stephen & Amiti, Mary & Weinstein, David, 2019. "The impact of the 2018 trade war on U.S. prices and welfare," LSE Research Online Documents on Economics 102619, London School of Economics and Political Science, LSE Library.
    3. Farnaz Ghashami & Kamyar Kamyar, 2021. "Performance Evaluation of ANFIS and GA-ANFIS for Predicting Stock Market Indices," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 13(7), pages 1-1, June.
    4. J. M. C. Santos Silva & Silvana Tenreyro, 2006. "The Log of Gravity," The Review of Economics and Statistics, MIT Press, vol. 88(4), pages 641-658, November.
    5. Ralph Ossa, 2014. "Trade Wars and Trade Talks with Data," American Economic Review, American Economic Association, vol. 104(12), pages 4104-4146, December.
    6. Farnaz Ghashami & Kamyar Kamyar & S. Ali Riazi, 2021. "Prediction of Stock Market Index Using a Hybrid Technique of Artificial Neural Networks and Particle Swarm Optimization," Applied Economics and Finance, Redfame publishing, vol. 8(3), pages 1-8, December.
    7. Fatemeh Bazzazan & Farnaz Ghashami & Mir Hosein Mousavi, 2017. "Effects of Targeting Energy Subsidies on Domestic Electricity Demand in Iran," International Journal of Energy Economics and Policy, Econjournals, vol. 7(2), pages 9-17.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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