Duration of the Membership in the GATT/WTO, Structural Economic Vulnerability and Trade Costs
Bibliographic record
Abstract
This paper assesses the effects of the duration of membership in the General Agreement on Tariffs and Trade (GATT)/World Trade Organization (WTO) and structural economic vulnerability on trade costs in developing countries. The analysis is performed on an unbalanced panel dataset of 121 countries over the period 1996–2018 and primarily utilizes the two-step system generalized method of moments estimator. It has established several findings. We obtain that longstanding GATT/WTO members enjoy a larger reduction in trade costs than relatively new GATT/WTO members. Concomitantly, a higher degree of structural economic vulnerability leads to higher trade costs. Moreover, the membership duration exerts a higher trade costs reduction effect in countries that are highly “structurally” vulnerable, including those that face high levels of exposure to shocks and high magnitudes of shocks. Finally, longstanding GATT/WTO members that receive higher amounts of development aid (including total development aid flows, Aid for Trade flows, and NonAfT flows) enjoy a larger trade costs reduction than relatively new GATT/WTO members.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".