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Record W3185054805 · doi:10.1111/iere.12620

NO CREDIT, NO GAIN: TRADE LIBERALIZATION DYNAMICS, PRODUCTION INPUTS, AND FINANCIAL DEVELOPMENT

2022· article· en· W3185054805 on OpenAlexaff
David Kohn, Fernando Leibovici, Michal Szkup

Bibliographic record

VenueInternational Economic Review · 2022
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEconomicsCollateralFree tradeTariffGeneral equilibrium theoryWelfareProduction (economics)International economicsMonetary economicsAggregate (composite)Capital (architecture)Financial marketMacroeconomicsFinanceMarket economy

Abstract

fetched live from OpenAlex

Abstract We study the role of financial development on the aggregate implications of reducing import tariffs on capital and intermediate inputs. We document empirically that financially underdeveloped economies feature a slower aggregate response following trade liberalization. To quantify these effects, we set up a general equilibrium model with heterogeneous firms subject to collateral constraints and estimate it using Colombian plant‐level data. We find that low financial development substantially limited the gains from trade liberalization in Colombia in the early 1990s. More broadly, we find that low financial development substantially limits both the aggregate and welfare gains from tariff reductions.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.640
Threshold uncertainty score1.000

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.034
GPT teacher head0.224
Teacher spread0.190 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations11
Published2022
Admission routes1
Has abstractyes

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