Assessing the impact of Trump’s tariffs
McKibbin and Noland analyze the potential economic impact of tariffs threatened by President-elect Donald Trump on Canada, Mexico, and China. Their findings indicate the following economic impact of proposed tariffs:
25% tariff on Canada and Mexico:
– US GDP would be approximately $200 billion lower over Trump’s second term.
– Canada would lose around $100 billion from its economy.
– Mexico’s economy would be reduced by up to 2% relative to baseline forecasts.
– All three countries would experience slower growth and accelerated inflation.
Additional 10% tariff on China:
– If China retaliates with a similar tariff: US GDP would be $55 billion less over four year and China’s GDP would be $128 billion less.
– Inflation would increase by 20 basis points in the US and 30 basis points in China after an initial dip.
Combined effect of all tariffs:
– The US would suffer more significant damage than in individual scenarios.
– Possibilities for trade substitution between Mexico and China would be reduced.
– Higher inflation and larger GDP losses would occur for the US.
Additional considerations:
– The model likely underestimates the real damage due to the highly integrated nature of these economies, especially in sectors like motor vehicles.
– Mexico is particularly vulnerable, with about 16% of its national value-added exported to the US.
– Historical precedent suggests Trump may not follow through on these threats, as seen during his first term.
– Renegotiating the US-Mexico-Canada Agreement (USMCA) is presented as a preferable alternative to imposing tariffs.



Trump’s threatened tariffs projected to damage economies of US, Canada, Mexico, and China
By: Warwick J. McKibbin, Marcus Noland – PIIE, Australian National University
Stock market reactions reveal large welfare costs of trade war
In this paper, Amiti et al. develop a novel method to quantify the expected impact of a trade war on welfare using financial market reactions. Their theoretical framework combines a dynamic, firm-level specific factors model of production, a model of consumer behavior, and a Capital Asset Pricing model. The authors use this framework to express the welfare impact of trade policies in terms of changes in firm values, changes in firm discount rates, and changes in tariff revenues. Finally, they identify 11 key tariff announcement dates during the 2018-2019 U.S.-China trade war and measure stock market reactions on these dates.
Key findings:
- The tariff announcements caused aggregate firm values to fall by 6.7%.
- Changes in firm discount rates account for a 3.1% drop in firm values.
- The overall welfare effect of the tariff announcements is estimated to be -3%. This welfare loss is much larger than predictions from conventional static trade models.
- The results suggest markets expected tariffs to have significant negative effects on future productivity, in addition to static price effects.
- Various robustness checks support the main findings, with welfare estimates ranging from -1.3% to -5.6%.
The authors conclude that their approach, which leverages financial market data, captures important dynamic effects of trade policies that are missed by standard static models.
Trade Protection, Stock-Market Returns, and Welfare
Authors: Mary Amiti, Matthieu Gomez, Sang Hoon Kong, David E. Weinstein
From: Federal Reserve Bank of New York, Columbia University