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Record W4233565366 · doi:10.1504/ijcee.2017.080615

The nature and propagation of shocks in the euro area: a comparative SVAR analysis

2016· article· en· W4233565366 on OpenAlexaboutno aff
Alberto Coco, Andrea Silvestrini

Bibliographic record

VenueInternational Journal of Computational Economics and Econometrics · 2016
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMonetary Policy and Economic Impact
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsQuarter (Canadian coin)European unionEuropean monetary unionPersistence (discontinuity)Sample (material)Order (exchange)Eu countriesMonetary economicsFinancial crisisInternational economicsMacroeconomicsMonetary policyGeographyFinance

Abstract

fetched live from OpenAlex

This paper investigates the nature and the propagation of macroeconomic shocks hitting the euro area, in order to draw indications on the functioning and viability of the monetary union after 15 years from its inception. Structural VAR models identified with sign restrictions for a large set of euro-area countries allow comparing the properties of three independent shocks over different sample periods, before and after the start of the EMU. Results show that, up to the third quarter of 2008, shocks on average have increased their co-movement and decreased their size and persistence in eurozone countries, compared with two control countries inside the European Union but outside the euro area (UK and Sweden). Conversely, following the outbreak of the global financial crisis, shocks have become on average more harmful for the euro area, as testified by their larger size and persistence relative to those in the two control 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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.347
Threshold uncertainty score0.331

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
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 head0.075
GPT teacher head0.259
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 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

Citations2
Published2016
Admission routes1
Has abstractyes

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