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Record W2472908533

The GCC Single Currency and Competing Views on Regime Choice Determinants

2009· article· en· W2472908533 on OpenAlexaboutno aff
Ghada Gomaa A. Mohamed

Bibliographic record

VenueSSRN Electronic Journal · 2009
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsCurrencyExchange rateState (computer science)International economicsRevenueEconomicsYield (engineering)Volatility (finance)Economic and monetary unionSingle currencyCommon currencyEuropean unionInternational tradeMonetary economicsAccountingFinancial economics
DOInot available

Abstract

fetched live from OpenAlex

The paper explores different views of regime choice and investigates theoretically and empirically the feasibility of a potential monetary union among the six members of the Gulf Cooperation Council – the United Arab Emirates, the State of Bahrain, the Kingdom of Saudi Arabia, the Sultanate of Oman, the State of Qatar, and the State of Kuwait. The theoretical model suggests that the optimum foreign regime needs to maximize oil revenues under the assumptions of internal and external balances. This is proved to occur at the possible maximum expected foreign-exchange rate or at the minimal level of uncertainty and volatility in foreign-exchange rate markets. Calculations using a calibrated model show that the proposed monetary union is likely to yield economic benefits for the GCC countries if they adopt a foreign regime pegged to SDR.I presented this paper at the 44th annual conference of Canadian Economic Association - CEA Laval University, Quebec City, Canada, May, 2010Authors: Ghada Gomaa A. Mohamed, Alexandria UniversityManochehr Eirandoust, United Arab Emirates University

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)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0050.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.028
GPT teacher head0.257
Teacher spread0.230 · 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 designTheoretical or conceptual
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

Citations1
Published2009
Admission routes1
Has abstractyes

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