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Record W88176268

The Impact of the Great Recession on the Euro Area: the Impossible Adjustment of Greece

2012· article· en· W88176268 on OpenAlexaboutno aff
Rãdulescu Andrei

Bibliographic record

VenueOvidius University Annals Economic Sciences Series · 2012
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Financial Crisis and Policies
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsShock (circulatory)Investment (military)RecessionMonetary economicsMarket liquidityQuarter (Canadian coin)European debt crisisProductivityEuropean monetary unionDebt crisisTotal factor productivityDebtEuropean unionInternational economicsMacroeconomicsMonetary policyGeographyEuropean integration
DOInot available

Abstract

fetched live from OpenAlex

At present the Euro Area is confronted with the persistence of the sovereign debt crisis. Despite the amount of measures implemented by the policymakers over the past years, the adjustment process is tough and seems impossible in several countries (for instance Greece, where the GDP contracted for the 17th quarter in row). In fact, these economies risk becoming permanent asymmetric shocks at the Monetary Union level. In this paper I estimate the evolution of the potential GDP in Greece during the period 1996-2011 by employing the Cobb-Douglas methodology. According to the results, the potential GDP of Greece turned negative after the shock of the 2008 global liquidity crisis. This indicator deteriorated severely afterwards, as the capital investment contracted, with negative impact for the total factor productivity. One can draw an important conclusion from this analysis: the European policymakers should take active measures for the relaunch of the investment flows in Greece in other Southern economies.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.014
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.080
GPT teacher head0.264
Teacher spread0.184 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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