RESEARCH REPORT
High-resolution behavioral economic analysis of cigarette demand to inform tax policy
Article first published online: 30 JUL 2012
DOI: 10.1111/j.1360-0443.2012.03991.x
© 2012 The Authors, Addiction © 2012 Society for the Study of Addiction
Additional Information
How to Cite
MacKillop, J., Few, L. R., Murphy, J. G., Wier, L. M., Acker, J., Murphy, C., Stojek, M., Carrigan, M. and Chaloupka, F. (2012), High-resolution behavioral economic analysis of cigarette demand to inform tax policy. Addiction, 107: 2191–2200. doi: 10.1111/j.1360-0443.2012.03991.x
Publication History
- Issue published online: 20 NOV 2012
- Article first published online: 30 JUL 2012
- Manuscript Accepted: 14 JUN 2012
- Manuscript Revised: 5 MAR 2012
- Manuscript Received: 22 DEC 2011
Funded by
- the National Center for Responsible Gaming
- the Bill and Melinda Gates Foundation
- the YMCA of the USA
- the US Department of Agriculture
- Canadian Institute of Health Research
- the National Institutes on Cancer (Canada)
- the American Legacy Foundation
- the Substance Abuse Policy Research Program of the Robert Wood Johnson Foundation
- the National Institutes of Health (NIH). Grant Number: K23 AA016936
Keywords:
- Behavioral economics;
- cigarette demand;
- nicotine dependence;
- tax policy
Abstract
Aims
Novel methods in behavioral economics permit the systematic assessment of the relationship between cigarette consumption and price. Towards informing tax policy, the goals of this study were to conduct a high-resolution analysis of cigarette demand in a large sample of adult smokers and to use the data to estimate the effects of tax increases in 10 US States.
Design
In-person descriptive survey assessment.
Setting
Academic departments at three universities.
Participants
Adult daily smokers (i.e. more than five cigarettes/day; 18+ years old; ≥8th grade education); n = 1056.
Measurements
Estimated cigarette demand, demographics, expired carbon monoxide.
Findings
The cigarette demand curve exhibited highly variable levels of price sensitivity, especially in the form of ‘left-digit effects’ (i.e. very high price sensitivity as pack prices transitioned from one whole number to the next; e.g. $5.80–6/pack). A $1 tax increase in the 10 states was projected to reduce the economic burden of smoking by an average of $530.6 million (range: $93.6–976.5 million) and increase gross tax revenue by an average of 162% (range: 114–247%).
Conclusions
Tobacco price sensitivity is non-linear across the demand curve and in particular for pack-level left-digit price transitions. Tax increases in US states with similar price and tax rates to the sample are projected to result in substantial decreases in smoking-related costs and substantial increases in tax revenues.

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