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Record W2896295151 · doi:10.1002/ijfe.1662

Exports, capital inflows, relative prices, and income growth in South Korea: An application of the balance of payments constraint growth model

2018· article· en· W2896295151 on OpenAlexaff
Alexander Bilson Darku

Bibliographic record

VenueInternational Journal of Finance & Economics · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Productivity
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsEconomicsCointegrationBalance of paymentsConstraint (computer-aided design)Distributed lagMonetary economicsRelative priceCapital (architecture)MacroeconomicsInternational economicsEconometrics

Abstract

fetched live from OpenAlex

Abstract The main objective of this paper is to use the balance of payment constraint growth model to examine the major determinants of income growth in South Korea, emphasizing the importance of exports, capital inflows, and relative prices. The autoregressive distributed lag approach to cointegration is employed to specify the short‐ and long‐run determinants of income growth. The main empirical results suggest that beside the growth in exports, which is the emphasis of the export‐led growth models, growth in capital inflows and relative prices have also played important roles in the growth process in South Korea. A formal test of the model confirmed the validity of the results. We also found that growth in capital inflows has the greatest effect on income growth in South Korea.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.582

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 communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.216
Teacher spread0.201 · 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.

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

Citations9
Published2018
Admission routes1
Has abstractyes

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