Low for Longer? Why the Global Oil Market in 2014 Is Not Like 1986
Bibliographic record
Abstract
In the second half of 2014, oil prices experienced a sharp decline, falling more than 50 per cent between June 2014 and January 2015. A cursory glance at this oil price crash suggests similarities to developments in 1986, when the price of oil declined by more than 50 per cent, initiating an episode of relatively low oil prices that lasted for more than a decade. This analytical note compares the 1986 price decline with the current episode more closely, and its key findings suggest important differences. While oil demand had been falling in the beginning of the 1980s, demand growth currently is being sustained by emerging economies and is projected to be more stable. Also, spare production capacity is significantly smaller today. Due to higher decline rates and shorter investment cycles of unconventional production, current supply is expected to adjust faster to low prices and reductions in investment spending. As long as oil demand from emerging economies remains robust, increases in production will require additional investment in high-cost production. The cost of this incremental production points to higher prices in the medium term than were observed in 2015, although the potential size of a price increase is limited because of ongoing cost-cutting initiatives and technological advances. Due to the fundamental changes in the oil market, it is unlikely that a decade of low oil prices—similar to the experience following the 1986 oil price crash—will repeat itself.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 teacher head, 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".