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Record W2972535584

CONSIDERATION RELATING THE THEORETICAL AND PRACTICAL FRAMEWORK OF THE MONETARY UNION

2018· article· en· W2972535584 on OpenAlexaboutno aff
Mercea Patricia Amalia

Bibliographic record

VenueAnnals - Economy Series · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsOptimum currency areaCurrencyRecessionPoint (geometry)Monetary economicsMonetary policyUnemploymentExchange rateInternational economicsExchange-rate regimeCurrency unionGovernment (linguistics)Macroeconomics
DOInot available

Abstract

fetched live from OpenAlex

For the first time in economic theory, the canadian economist Robert Mundel (1961)signaled the fact that countries with close trade links and with similar economic cycles could benefit major advantages using a common currency by reducing transaction costs and eliminating currency risk. Labor mobility within the region, and active policies of the government to create jobs where unemployment is high, can be a substitute for quitting floating exchange rate and loss of the right to set interest rate level allowed by independent monetary policy. Mundell says that in addition, when economic cycles are not perfect aligned and common monetary policy can not act with the same intensity stabilizing across the region, there must be set up mechanisms for fiscal transfers: collection of fees from an area of growth and their transfer in an area in recession. The idea of a single coin for Europe began to emerge in 1979 when the European Monetary System was founded. Subsequently, in 1999, euro, the single currency of the euro area for eleven European Member States at that time, was launched. The concept of Mundell has literally become the starting point for a new field of research, the problem of forming an optimum currency area has been seen as a new theoretical basis for adjustments to asymmetric shocks, ie to exogenous factors that produce significant disturbances within a region or countries.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.183
Threshold uncertainty score0.342

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.035
GPT teacher head0.275
Teacher spread0.240 · 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 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
Published2018
Admission routes1
Has abstractyes

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