Regional Integration and Dynamic Adjustments: Evidence from a Gross National Product Function for Canada and the United States
Bibliographic record
Abstract
We propose an empirical trade model to test for structural change and dynamic effects induced by free trade agreements for the Canadian and US economies. We estimated a translog Gross National Product (GNP) function along with output and factor shares and tested for structural change (abrupt or gradual) which is endogenously determined by the data. After this, we estimated Stolper-Samuelson (SS) and Rybcynski (R) elasticities, and assessed the stability of their sign and magnitude link to the structural change. The null hypothesis of no structural change is soundly rejected for both countries. For Canada, we found gradual structural change that started prior to the implementation of CUSTA and lasted for several years. In the US case, we found evidence of an abrupt structural change occurring in 1995, a year after NAFTA came into force. More interestingly, several SS and R elasticities experienced sign reversals and a magnification effect over the different sub-periods, implying that the categorization of goods in terms of friends or enemies of labour and capital changed during the transition.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".