Comparative Study of Macroeconomic Effects of Oil Shocks, before and after Mid 80s: The Case of Oil Exporting Countries
Bibliographic record
Abstract
countries. It seems that these effects have modified during the last four decades. In other words, the effects of the oil shocks of 1970s on the industrialized economies of the oil importing countries have been mostly followed by an overwhelming stagflation, although such severe effects have not appeared after the oil shocks of 1990s. In this paper, with the use of Autoregressive (VAR) model, the attempt is to investigate the critical effects of oil shocks on some oil exporting countries like Iran, Venezuela, Nigeria, Norway and Canada. Based on impulse response functions in these countries, we will arrive at the conclusion that just in Norway and Canada, the effects of oil shocks on growth rate, inflation and real exchange rate have been decreased. In this case, the paper will argue that the role of exchange rate systems, monetary policies and different macroeconomic structure of these countries have caused milder effects of oil shocks in 1990s.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".