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Record W1877574747 · doi:10.1111/roie.12123

Endogenous Free Trade Agreements and Foreign Lobbying

2014· article· en· W1877574747 on OpenAlexafffund
Andrey Stoyanov

Bibliographic record

VenueReview of International Economics · 2014
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsYork University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsFree tradeInternational tradeInternational economicsWelfareEconomicsLiberalizationTrade barrierPoliticsGovernment (linguistics)Commercial policyMarket economyPolitical scienceLaw

Abstract

fetched live from OpenAlex

Abstract This paper assesses the political viability of free trade agreements (FTAs) in the presence of lobbying by organized foreign interest groups. The assessment is based on a model in which external tariffs and the decision to form an FTA are endogenously determined. The findings demonstrate that, in the presence of an organized lobby group in a prospective partner country, an FTA may initiate an increase in the level of protection against imports from third countries and impede trade with non‐member countries. Further, this study finds that a foreign lobby may encourage the local government to enter a welfare‐reducing trade‐diverting FTA. Finally, this paper shows that an FTA increases the lobbying power of the organized lobby groups of the member countries, which can potentially obstruct the viability of welfare‐improving multilateral trade liberalization.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0130.001

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.

Opus teacher head0.071
GPT teacher head0.222
Teacher spread0.152 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2014
Admission routes2
Has abstractyes

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