MétaCan
Menu
Back to cohort
Record W1558132635 · doi:10.1111/isqu.12037

The Cost of Wiggle-Room: Looking at the Welfare Effects of Flexibility in Tariff Rates at the WTO<sup>1</sup>

2013· article· en· W1558132635 on OpenAlexaff
Krzysztof Pelc

Bibliographic record

VenueInternational Studies Quarterly · 2013
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsMcGill University
Fundersnot available
KeywordsTariffFlexibility (engineering)Panacea (medicine)NegotiationRules of originInternational economicsWelfareEconomicsPoint (geometry)International tradeLawPolitical scienceMarket economy

Abstract

fetched live from OpenAlex

There is considerable variation in the depth of countries' commitments at the World Trade Organization (WTO). While WTO members apply tariffs on imports at roughly comparable levels, the maximum levels allowed on these tariffs vary dramatically, leaving some members with far more flexibility to raise trade barriers overnight. Some countries have argued that such "binding overhang" is harmless unless it is exploited, while other countries disagree. This paper is the first attempt to empirically assess the effect of binding overhang on trade flows. I argue that the mere existence of binding overhang has a strongly negative effect on trade, through the way in which it muddles expectations. Using data at the 4-digit harmonized system product level, covering the WTO membership from 1995 to 2008, I demonstrate that the cost in terms of lost trade resulting from the ability to legally raise a tariff by one point is tantamount to nearly half the cost of having done so. In sum, WTO membership is, by itself, no panacea. Negotiating greater tariff flexibility can water down a country's legal commitments and significantly reduce the benefits flowing from the institution.

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 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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.037
GPT teacher head0.254
Teacher spread0.217 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueInternational Studies QuarterlySame topicGlobal trade and economicsFrench-language works237,207