Liberalizing NAFTA Rules of Origin: A Dynamic CGE Analysis
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Most computable general‐equilibrium (CGE) studies assessing the welfare impact of moving from a North American Free Trade Agreement (NAFTA) to a deeper form of integration, for example a customs union (CU), typically proxy the integration as the adoption of a common external tariff toward the rest of the world. However, a CU is also an arrangement that allows for the elimination of FTAs' preferential rules of origin (ROO), which is typically not captured in CGE studies. This paper addresses the issue using a multicountry, multisector dynamic CGE model. Although the removal of distortionary ROO is likely to lower the unit costs of production within North America, it may also deteriorate North American terms of trade with the rest of the world. Thus, the net effect of the removal of NAFTA ROO on welfare is ambiguous and is an empirical issue.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it