Predictors of What Smokers Say They Will Do in Response to Future Price Increases. Findings From the International Tobacco Control (ITC) Four Country Survey
Bibliographic record
Abstract
INTRODUCTION: Given the impact of higher tobacco prices on smoking cessation, we studied the role of future cigarette prices on forming expectation about smoking behavior. METHODS: Using a random sample of 9,058 adult cigarette smokers from the United States, Canada, Australia, and the United Kingdom collected in 2002, we examined predictors of what smokers say they will do in response to a hypothetical 50% increase in the price they paid for their last cigarette purchase. A series of regression analyses examined factors associated with intentions that have a positive impact on health, that is, intentions to quit and/or to consume fewer cigarettes. RESULTS: The quit and/or smoke less intentions were more pronounced among those who lived in areas with higher average cigarette prices and who paid higher prices for their brand of choice during the last purchase. The magnitude of the price increase is a more important predictor of an intention to quit/smoke less compared with the average cigarette price. CONCLUSIONS: The availability of alternative (cheaper) cigarette sources may reduce but would not eliminate the impact of higher prices/taxes on smokers' expected behavior that has been linked to actual quit intentions and quitting in follow-up surveys.
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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 | 0.009 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".