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Record W3129930178 · doi:10.1111/jmcb.13220

Has the Euro Paid Off? A Study of the Trade‐Induced Welfare Effects of the EMU

2024· article· en· W3129930178 on OpenAlexaff
Silviano Esteve‐Pérez, Salvador Gil‐Pareja, Rafael Llorca‐Vivero, Jordi Paniagua

Bibliographic record

VenueJournal of money credit and banking · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsKellogg's (Canada)
FundersUniversitat de ValènciaAgencia Estatal de InvestigaciónGeneralitat ValencianaMinisterio de Ciencia, Innovación y UniversidadesUniversity of Notre Dame
KeywordsWelfareEconomicsInternational economicsMarket economy

Abstract

fetched live from OpenAlex

Abstract This paper aims to provide policy‐relevant insights into the effect of the euro on trade. It uses a new data set of bilateral international and intranational manufacturing trade flows for 69 countries over the period 1986−2016. A general equilibrium gravity model is estimated to quantify the welfare effect of the euro and its impact on consumer prices and producer prices within countries (i.e., distributional effects). The results of three counterfactual experiments indicate that the euro has successfully increased welfare for the Economic and Monetary Union (EMU) and non‐EMU member countries. The results suggest that a two‐speed euro design would have further increased welfare, with some heterogeneity within countries. The growth effects of the euro are mainly driven by trade creation outside the EMU. This finding raises questions over the cohesiveness of the euro area as an optimum currency area.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.049
GPT teacher head0.211
Teacher spread0.163 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2024
Admission routes1
Has abstractyes

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