Demand for cigarettes in the United States: effects of prices in bordering states and contiguity with Mexico and Canada
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.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".