Replication data for: Wells or Welfare? Macroeconomic Implications of the Canadian Oil Subsidy
Bibliographic record
Abstract
This repository contains a Readme file and a replication data for the paper: "Wells or Welfare? Macroeconomic Implications of the Canadian Oil Subsidy". The study constructs a general equilibrium model to investigate the macroeconomic effects of oil production and investment subsidies. To make the model reflect real-life situations, the study incorporates Canadian economic data and uses a Bayesian method to fine-tune the model. Although subsidies boost the short-term economic effects of oil price shocks, they lead to overall losses in economic welfare over time, regardless of the channel through which they are provided. The study shows that a less aggressive headline inflation-targeting monetary policy combined with an efficient tax system is more beneficial in terms of welfare maximisation. The findings suggest three essential and complementary policies: a gradual phase-out of oil subsidies, starting with investment subsidies due to their relatively high welfare cost; increased investment in the green energy sector to reduce carbon footprints and offset the decline in oil and gas sectors; and improved coordination between fiscal and monetary policies.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.008 | 0.005 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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; both teacher heads agree on what is shown here.
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".