Carbon tax pass‐through in Canadian retail gasoline markets
Bibliographic record
Abstract
Abstract A carbon tax's pass‐through is one factor influencing its effectiveness in internalizing the externality created by greenhouse gas emissions. This paper measures the pass‐through of carbon taxes introduced in retail gasoline markets of four Canadian provinces that did not meet the carbon pollution pricing federal benchmark stringency requirements. Those four provinces are Saskatchewan, Manitoba, Ontario and New Brunswick. Using daily retail gasoline prices for 40 treated cities and nine control cities we find the pass‐through rates are city‐specific and vary from 0% to over 140%. City‐specific pass‐through rates imply that estimations at a higher level of geographical aggregation assume homogeneous effects where heterogeneous effects might be present. Our results also suggest it would be difficult for a government to impose an optimal and nationwide carbon tax on automotive greenhouse gas emissions. Although the degree of competition can explain city‐specific pass‐through rates, it cannot explain over‐shifting. Over‐shifting can be explained, however, by the demand functional form.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".