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Record W3138585625 · doi:10.3390/jrfm14030128

Estimating the Growth Effects of 2004 Eastern Enlargement of the European Union

2021· article· en· W3138585625 on OpenAlexvenueno aff
Andrzej Cieślik, Mehmet Burak Turgut

Bibliographic record

VenueJournal of risk and financial management · 2021
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal trade and economics
Canadian institutionsnot available
Fundersnot available
KeywordsResizingEuropean unionPer capitaGross domestic productAccessionMember statesInternational economicsInternational tradeEconomicsEu countriesDemographic economicsDemographyEconomic growth

Abstract

fetched live from OpenAlex

In this paper, we study the growth effects of the 2004 Eastern enlargement of the European Union (EU) using the synthetic control method. We estimate that this EU enlargement had an immediate but modest positive impact on the economic growth of the EU-8 countries in the first few years following their EU accession. The positive impact of the EU enlargement became more apparent from 2007 when the new EU member states were admitted into the Schengen zone. As a result, the gross domestic product (GDP) per capita difference between the actual and synthetic EU-8 continued to grow towards the end of the sample period. We found that over the entire 2004–2012 period, GDP per capita of the EU-8 was increased by about 2313 USD per year on average relative to the synthetic EU-8. The growth rate of the GDP per capita in the actual EU-8 for the same period was 2.7% larger than the synthetic EU-8.

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)0.006
metaresearch head score (Gemma)0.018
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 score0.023
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.176
Teacher spread0.164 · 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

Citations15
Published2021
Admission routes1
Has abstractyes

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