Trade Policy in Lobbying Equilibrium: With Non‐Traded and Traded Final Goods and Intermediate Inputs
Bibliographic record
Abstract
The paper derives trade policies endogenously for final consumption and intermediate input industries in the presence of a non‐traded sector. Contrary to what the existing literature suggests, results show that there is no definite relation between lobbying status and the direction of trade policy of an industry. Trade protection of an industry depends on how its consumption (horizontal) and production (vertical) linkages with other industries reinforce or cancel out its lobbying efforts. To cite a few results, (i) an organized industry may face trade tax, whereas an unorganized one may obtain protection; (ii) an organized downstream industry may not be able to impose trade tax to an unorganized upstream industry, (iii) an organized upstream industry may not hurt unorganized downstream industry, (iv) lobby for non‐traded industry alone can influence trade policies, and (v) lobby for traded industry affects the size of the non‐traded sector in the economy.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".