Trends in cigarette pricing and purchasing patterns in a sample of US smokers: findings from the ITC US Surveys (2002-2011)
Bibliographic record
Abstract
OBJECTIVE: This paper examines trends in cigarette prices and corresponding purchasing patterns over a 9-year period and explores characteristics associated with the quantity and location of cigarettes purchased by adult smokers in the USA. METHODS: The data for this paper come from a nationally representative longitudinal survey of 6669 adult smokers (18 years and older) who were recruited and surveyed between 2002 and 2011. Telephone interviews were conducted annually, and smokers were asked a series of questions about the location, quantity (ie, single vs multiple packs or cartons) and price paid for their most recent cigarette purchase. Generalised estimating equations were used to assess trends and model characteristics associated with cigarette purchasing behaviours. RESULTS: Between 2002 and 2011, the reported purchase of cigarette cartons and the use of coupons declined while multipack purchases increased. Compared with those purchasing by single packs, those who purchased by multipacks and cartons saved an average of $0.53 and $1.63, respectively. Purchases in grocery and discount stores declined, while purchases in tobacco only outlets increased slightly. Female, older, white smokers were more likely to purchase cigarettes by the carton or in multipacks and in locations commonly associated with tax avoidance (ie, duty free shops, Indian reservations). CONCLUSIONS: As cigarette prices have risen, smokers have begun purchasing via multipacks instead of cartons. As carton sales have declined, purchases from grocery and discount stores have also declined, while an increasing number of smokers report low tax sources as their usual purchase location for cigarettes.
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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 | 0.001 | 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 | 0.000 | 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".