Pipeline Capacity Rationing and Crude Oil Price Differentials: The Case of Western Canada
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.
Bibliographic record
Abstract
This paper examines the impact of pipeline capacity constraints on the discount of Canadian oil prices relative to U.S. benchmark oil prices. Using a panel of monthly data for Canadian oil exporting pipelines, we estimate that price differentials between U.S. markets and Western Canada would increase by 3.6% for 1% increase in pipeline capacity constraints. Pipeline capacity constraints in Canada have resulted in an average loss of $5.53 for every barrel of crude oil exported to the U.S. between 2009 and 2017. In 2015 and 2016, the losses due to insufficient pipeline capacity were equivalent to 3%-5% of the Canadian oil and gas industry’s sales revenue and 69%-102% of its royalty payments to provincial governments. Western Canadian oil refiners and refined products’ consumers benefit from the depressed crude oil prices. However, the total gains captured by local refiners and consumers are much smaller than the losses of the upstream sector.
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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 | 0.000 |
| 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) | 0.000 | 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 it