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Record W7112628781

The effectiveness of governmental monetary policies on economic performance: middle east experiment / Mohammad Aladwan ... [et al.]

2024· article· en· W7112628781 on OpenAlexaboutno aff

Bibliographic record

VenueUiTM Institutional Repositories (Universiti Teknologi MARA) · 2024
Typearticle
Languageen
FieldComputer Science
TopicOrganizational and Employee Performance
Canadian institutionsnot available
Fundersnot available
KeywordsRobustness (evolution)Money supplyNull hypothesisQuarter (Canadian coin)Granger causalityMonetary policyReal gross domestic productOrder (exchange)Price index
DOInot available

Abstract

fetched live from OpenAlex

The current study was stimulated by the ongoing widespread debate about the effectiveness of monetary policy in improving economic performance. The study employed time series data obtained from the bulletins of the Central Bank of Jordan cover a period of 15 years from the third quarter of 2008 to the second quarter of 2023 with a total of 60 observations. The St. Louis methodology was adopted in order to verify the objectives of the study. The Granger test was also applied to verify the causal relationships and their direction between money supply and general price index from one side and real GDP from the other side. In order to create further evidence for the robustness of this relationship an additional tests-the VECM and FMOLS were conducted for predicting the study model. The results revealed that data were stationary at all levels. Moreover, the Granger test exposed unidirectional relationship between these variables (money supply, consumer price index) and real GDP, and therefore the null hypotheses of the study were rejected, and evidence was recognized; that the two variables were able to estimate the changes in RGDP. Further indication of the robustness on this relationship was obtained by the VECM and FMOLS tests that validated the prediction model of the study. The collective results of the study established an essential positive influence for money supply on RGDP in the Jordanian context.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.973
Threshold uncertainty score0.596

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.013
GPT teacher head0.215
Teacher spread0.202 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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