The hidden dynamics of the USA-Mexico trade relationship: a partial export data decomposition approach

Huseyin Karamelikli, Serdar Ongan, Ismet Gocer

Research output: Contribution to journalArticlepeer-review

Abstract

This study employs a unique methodology to uncover the hidden dynamics of the USA-Mexico trade relationship under the United States-Mexico-Canada Agreement (USMCA) agreement. The conventional bilateral trade balance (BTB) only considers total export data, which may need to be revised for testing the J-curve hypothesis since countries (such as the USA) also re-export to their partners (e.g., Mexico). To address this, the study decomposes total export data into re-export data and domestic export data and proposes two new forms of J-curve hypothesis testing: the partial-domestic-J-curve hypothesis BTB and the partial-re-export-J-curve hypothesis BTB. The study's empirical findings suggest that the partial methodology should be used for asymmetric J-curve hypothesis testing in the USA-Mexico trade. The findings also indicate that Mexican consumers are more sensitive to changes in the value of the peso for US domestic products than re-exported products, and they purchased more US domestic products than re-exported products during the COVID-19 pandemic.
Original languageEnglish
Pages (from-to)1-38
Number of pages38
JournalSpatial Economic Analysis
Early online date5 Apr 2024
DOIs
Publication statusE-pub ahead of print - 5 Apr 2024

Keywords

  • partially J-curve hypothesis testing
  • nonlinear approach
  • Mexico
  • USA
  • trade relationships

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