Oil Price Pass-through on Domestic Inflation: Oil Importing Versus Oil Exporting Countries
Bibliographic record
Abstract
Previous studies have evident the effects of oil price changes on domestic inflation.However, such effects may vary due to oil dependency factor.This paper extends the examination on two panel groups, namely the oil importing and oil exporting countries.Each group consists of ten countries.Besides, we also compare the relative effects of oil price with other shocks (domestic output, exporter's production cost and real exchange rate) on domestic inflation (consumer price and producer price).Our results capture significant pass-through effect from oil price changes on domestic inflation at producer and consumer levels.However, oil price is not the main determinant to domestic inflation.The oil price pass-through effect differs between oil importing versus oil exporting groups across consumer and producer levels.Higher oil price causes to higher production price inflation but does not lead to higher consumer price inflation in both groups of countries.The oil price effect together with exchange rate, foreign cost production and GDP have significant long-run impact on domestic inflation in both groups of countries.The joint effects are small and not significant in the short-run.Oil dependency and effective monetary policy matter on determining the effect of oil price changes on domestic inflation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".