High‐resolution behavioral economic analysis of cigarette demand to inform tax policy

AbstractAimsNovel 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.DesignIn‐person descriptive survey assessment.SettingAcademic departments at three universities.ParticipantsAdult daily smokers (i.e. more than five cigarettes/day; 18+ years old; ≥8th grade education); n = 1056.MeasurementsEstimated cigarette demand, demographics, expired carbon monoxide.FindingsThe 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%).ConclusionsTobacco 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.

High‐resolution behavioral economic analysis of cigarette demand to inform tax policy Journal Articles