The effects of US-Japan trade agreements on production, sales, factor demand, and price in competition and firm structure
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study analyzes the integrated effects of the USJTA, USJDTA, and the agreement on minerals for electric vehicle batteries. While most previous studies adopted the perfect competitive Armington model to analyze the economic effect of FTAs, it is unrealistic since monopolistic competition is taking place in export markets. To overcome those gaps, this study introduces the computable general equilibrium framework with monopolistic heterogeneity. The empirical results utilize the GTAP-HET transformed data using seven commodity sectors and seven countries which consist of four developed countries such as US, Japan, Canada and the EU and three developing countries such as China, Mexico, and the ROW. The new finding shows that the changes in industry outputs, domestic industry sales, demand for labor and capital, industry sector price, and terms of trade appeared significantly different according to perfect, monopolistic competition, and firm heterogeneity models.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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