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Record W2801279456 · doi:10.1111/twec.12662

Monetary union in West Africa and business cycles synchronicity: New evidence

2018· article· en· W2801279456 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

VenueWorld Economy · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsVancouver Island University
Fundersnot available
KeywordsSynchronicityBusiness cycleDominance (genetics)EconomicsCurrencyChinaCommon currencyInternational economicsInternational tradeCurrency unionEconomic and monetary unionOptimum currency areaEuropean unionMonetary economicsMacroeconomicsPolitical science

Abstract

fetched live from OpenAlex

Abstract In the light of the initiative of the West African Monetary Zone (WAMZ) to introduce a common currency by 2020, this paper investigates the intricacies of the business cycles synchronicity among the six countries. Given: (i) the rising importance of trade and cooperation with China; (ii) the consideration of the Euro as a potential anchor currency and a vehicle for trade with the Eurozone; and (iii) the importance of Nigeria as the largest country of the group and the main supplier of oil, we investigate the relative importance of these three major players in having their business cycles linked with the group. In addition, we investigate the underlying determinants of the business cycles synchronicity among the WAMZ countries on a pairwise basis. Results show a clear dominance of China's business cycle synchronicity with the WAMZ over Europe's and Nigeria's. Trade integration emerges as the key underlying factor of the common cycle observed.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.486
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.035
GPT teacher head0.231
Teacher spread0.195 · 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