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Record W3083941798 · doi:10.1787/706b87c1-en

Services trade costs in the United States: A simulation based on the OECD Services Trade Restrictiveness Index

2020· report· en· W3083941798 on OpenAlexaboutno aff
Sebastian Benz, Alexander Jaax

Bibliographic record

VenueOECD Economics Department working papers · 2020
Typereport
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsRestrictivenessIndex (typography)Quarter (Canadian coin)BusinessInternational economicsLiberalizationEconomicsInternational tradeGeographyComputer science

Abstract

fetched live from OpenAlex

While services account for almost 80% of GDP in the United States and a growing share of global trade, regulatory barriers to services trade around the world are still high. Using a hypothetical liberalisation scenario, this paper assesses the potential reduction of trade costs that could be achieved in 17 US services sectors. The analysis relies on the OECD Services Trade Restrictiveness Index (STRI) which records barriers to services trade in 46 economies. The illustrative scenario assumes a 50% reduction in the gap between the current STRI score of the United States and the score of the least restrictive country in each sector. The results highlight the economic benefits of aligning US services regulation with global best practice. The average reduction in trade costs across the 17 sectors analysed would amount to 9.7 percentage points, with a quarter of the sectors experiencing reductions larger than 14.1 percentage points and another quarter experiencing reductions smaller than 5.3 percentage points.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.685
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0010.001
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 head0.073
GPT teacher head0.247
Teacher spread0.175 · 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.

Study designSimulation or modeling
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

Citations0
Published2020
Admission routes1
Has abstractyes

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