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Record W30965650 · doi:10.15173/esr.v17i2.523

World Oil Price, Economic Growth, Inflation & Interest Rate Relationships in Tunisia

2010· article· en· W30965650 on OpenAlexvenueno aff
Hassan Guenichi, Salwa Benamou

Bibliographic record

VenueEnergy Studies Review · 2010
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicMarket Dynamics and Volatility
Canadian institutionsnot available
Fundersnot available
KeywordsEconomicsCointegrationOil priceInflation (cosmology)UnivariateMonetary policyShock (circulatory)Monetary economicsPrice levelVector autoregressionMacroeconomicsMultivariate statisticsEconometrics

Abstract

fetched live from OpenAlex

The aim of this paper is to examine the long run relationship between the world oil price, economic growth demand, and inflation in the developing country of Tunisia, by means of annual data base (1970-2008), univariate and multivariate tests of structural breaks, and cointegration analysis with multiple structural changes. Our empirical results indicate that by positively impacting the price level, oil price negatively impacts real output. The results also indicate that in Tunisia the monetary policy responds to a surge in the oil price in order to reduce or sustain any growth consequences. The ensuing higher inflation however prompts a subsequent tightening of monetary policy leading to a further decline in output. In addition, output does not revert quickly to its initial level after an oil price shock, but declines over an extended period.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.872
Threshold uncertainty score0.982

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.085
GPT teacher head0.282
Teacher spread0.196 · 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 designNot applicable
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
Published2010
Admission routes1
Has abstractyes

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