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Record W4408756760 · doi:10.1080/15140326.2025.2480998

Evaluation of the economic welfare gains from reducing trade administration costs in Mercosur

2025· article· en· W4408756760 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Applied Economics · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsQueen's University
Fundersnot available
KeywordsEconomicsWelfareAdministration (probate law)International economicsInternational tradeMarket economyPolitical science

Abstract

fetched live from OpenAlex

This paper evaluates potential welfare gains in the Mercosur region from improvements to trade administration. Streamlined border procedures and related processes could save billions, open markets for exporters, and promote trade diversification. Using a microeconomic model with country-specific trade elasticities, we compare the trade cost structures of Mercosur member states to those of Chile and Canada. The analysis distinguishes between land and sea borders, highlighting cost differences in these trade mediums. A unique case – the Argentinian export tax regime – is examined, revealing welfare losses from this tax that outweigh the benefits of reducing Argentina’s trade costs. Our estimates suggest that if Mercosur’s trade administration costs were reduced to the levels of the reference countries, the region could gain over USD 15 billion annually. This work underscores the substantial economic benefits of improved trade facilitation in the region.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.476
Threshold uncertainty score0.758

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.061
GPT teacher head0.259
Teacher spread0.199 · 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