DO CARBON TAXES KILL JOBS? FIRM-LEVEL EVIDENCE FROM BRITISH COLUMBIA
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 investigates the employment impacts of British Columbia’s revenue neutral carbon tax. Using the synthetic control method with firm-level data, we find considerable heterogeneity in employment responses to the policy. We show that firm size matters. In particular, the carbon tax had a negative impact on large emission-intensive firms, but simultaneous tax cuts and transfers increased the purchasing power of low income households, substantially benefiting small businesses in the service sector and food/clothing manufacturing. Furthermore, we find that aggregate employment was not adversely affected by the policy. Our results provide additional insight for the “job-shifting hypothesis” of revenue neutral carbon taxes.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.004 |
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