Demand for cigarettes in the United States: effects of prices in bordering states and contiguity with Mexico and 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
Based on a cross-section of US states for 2004, this article estimates a demand function for cigarettes after including a proxy for prices in the bordering states and simple proxies for contiguity with Mexico and Canada and for being a major tobacco producer. One major point seems to be that the negative elasticity for within-state price is similar in magnitude to the positive elasticity for the (lowest) price in bordering states. Several additional points also seem noteworthy. First, having a border with Mexico lowers sales in the state sizably. Second, the share of Hispanic/Latino population in the state also lowers sales significantly. Third, contiguity with Canada appears to have no significant effect. Fourth, partial impact of the state being a major tobacco producer appears minor even though consumption in these states is considerably higher. Fifth, education shows the expected negative association with cigarette consumption, but its statistical significance is low. Last, income carries a weak negative parameter, perhaps reflecting the lower prevalence of smoking in higher-income households.
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.
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) | 0.000 | 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