JOURNAL ARTICLE
The Cost of Standing Up to Protectionism: Price and Welfare Impacts of Canada's 2018 Retaliatory Tariffs.
Published In: Canadian Public Policy, 2025, v. 51, n. 3. P. 319 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Khushboo, Tazia 3 of 3
Abstract
The article analyzes the extent to which Canada's retaliatory tariffs on $16.6 billion worth of U.S. goods in response to the 2018 U.S. steel and aluminum tariffs passed through to import prices and affected Canadian welfare. Using detailed Canadian import data and a triple-difference estimation strategy, it finds that, on average, import prices fully reflected the tariffs (complete pass-through), causing Canadian importers to bear the full cost, reduce imports of targeted U.S. products by about one-third, and incur welfare losses estimated at $464 million alongside $1.76 billion in government tariff revenues. However, product-level analysis reveals significant heterogeneity: about 12% of products exhibited incomplete pass-through (U.S. exporters absorbed some tariffs), 13% showed tariff under-shifting (prices fell), and 28% experienced tariff over-shifting (prices rose more than the tariff). The study concludes that while Canada's retaliatory tariffs generated substantial costs for importers without terms-of-trade gains on average, some targeted products did yield positive terms-of-trade effects, though Canada's relative market size for these products was not a significant predictor of pass-through variation.
Additional Information
- Source:Canadian Public Policy. 2025/09, Vol. 51, Issue 3, p319
- Document Type:Article
- Subject Area:History
- Publication Date:2025
- ISSN:0317-0861
- DOI:10.3138/cpp.2025-006
- Accession Number:188287115
- Copyright Statement:Copyright of Canadian Public Policy is the property of University of Toronto Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.