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Record W3084734385 · doi:10.35448/jequ.v10i1.8577

STUDI EMPIRIS PENGARUH HARGA MINYAK MENTAH DUNIA DAN VARIABEL MONETER TERHADAP PEREKONOMIAN INDONESIA PERIODE 1996-2018

2020· article· id· W3084734385 on OpenAlex
Luthfi Fajar Arifah, Muhammad Basorudin, Muhammad Abdul Majid, Mira Choirunnisa, Putri Lydia Eltheofany S

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJurnal Ekonomi-Qu · 2020
Typearticle
Languageid
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsnot available
FundersInnovative Research Group Project of the National Natural Science Foundation of China
KeywordsQuarter (Canadian coin)EconomicsIndonesianContext (archaeology)Vector autoregressionError correction modelValue (mathematics)Descriptive statisticsEconomyEconometricsGeographyMathematicsStatisticsCointegration

Abstract

fetched live from OpenAlex

Oil is one of the strategic energies in the economy. The fluctuations will always be a favorite barometer of economists and world leaders. Therefore, this study aims to convert deeper into the world and monetary variables towards the Indonesian economy for the period 1996-2018. This study uses secondary data from the IMF and BPS. Variables are economic growth, oil prices, and interest rates. Perform the analysis carried out, namely descriptive analysis using Images and inferential analysis with Vector Error Correction Mechanism (VECM). The results of this study are common in the context of economic growth. Meanwhile, there is no economic growth. Meanwhile, at that time economic growth was influenced by economic growth in the first quarter, second and third quarter, growth in oil prices in the previous quarter, and economic growth in the previous quarter. The average value of ECT produced is negative and significant.

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.

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 categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.257
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.002

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 head0.044
GPT teacher head0.225
Teacher spread0.181 · 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