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Record W1592920029 · doi:10.1257/aer.20141096

Export Markets and Labor Allocation in a Low-Income Country

2018· article· en· W1592920029 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.

Bibliographic record

VenueAmerican Economic Review · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsProductivityVietnameseLabour economicsEconomicsInformal sectorManufacturing sectorTariffShock (circulatory)Production (economics)Labor intensityBusinessInternational economicsDemographic economicsEconomic growthMarket economy

Abstract

fetched live from OpenAlex

We study the effects of a positive export shock on labor allocation between the informal, microenterprise sector and the formal firm sector in a low-income country. The United States-Vietnam Bilateral Trade Agreement led to large reductions in US tariffs on Vietnamese exports. We find that the share of manufacturing workers in Vietnam in the formal sector increased by 5 percentage points in response to the US tariff reductions. The reallocation was greater for workers in more internationally integrated provinces and for younger cohorts. We estimate the gap in labor productivity within manufacturing across the informal and formal sectors. This gap and the aggregate labor productivity gain from the export-induced reallocation of workers across the two sectors are reduced when we account for worker heterogeneity, measurement error, and differences in labor intensity of production. (JEL F16, J24, O14, O17, O19, P23, P33)

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.325
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.002

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 head0.022
GPT teacher head0.237
Teacher spread0.215 · 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