Impact of carbon prices on household behaviors in housing transactions
Bibliographic record
Abstract
This paper studies how greenhouse gas emissions (GHGe) mitigation policy (i.e., 2018 Greenhouse Gas Pollution Pricing Act or GHGPPA implemented by the Government of Canada) impacts sellers' and buyers' behaviors in housing transactions due to their different reactions to the Act's effect on housing transactions from increased carbon-price awareness. We find no net effect on selling prices after the GHGPPA although sellers (buyers) with greater carbon-price awareness list houses higher (value houses lower). The GHGPPA decreases the house-sale likelihood and lengthens the selling time in carbon-impacted areas. Our results are not driven by emission-intensive fuel usage as house heating inputs. (100 Words). • Examine effects of carbon-price awareness (CPA) in carbon-impacted areas. • Use implied effect on CPA around adoption of Canadian GHGPPA. • Sellers (buyers) with greater CPA list houses higher (value houses lower) post-GHGPPA. • No net effect on transacted house prices post-GHGPPA. • Lower house-sale likelihood/longer time-on-market post-GHGPPA.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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 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".