2011
DOI: 10.1007/s12197-011-9207-6
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Empirical analysis of the impact of cigarette excise taxes on cigarette consumption: estimates from recent state-level data

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Cited by 8 publications
(2 citation statements)
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“…Tax and regulation differentials across U.S. states promote spillovers of the shadow or underground market through cigarette smuggling (see Goel and Saunoris (2016)). As discussed by Cebula et al (2014), tax hikes that reduce aggregate cigarette consumption do not account for the possible substitution from low nicotine to high nicotine cigarettes. Using similar reasoning, smokers may substitute away from the high cost legal cigarettes and instead purchase cigarettes underground.…”
Section: Introductionmentioning
confidence: 99%
“…Tax and regulation differentials across U.S. states promote spillovers of the shadow or underground market through cigarette smuggling (see Goel and Saunoris (2016)). As discussed by Cebula et al (2014), tax hikes that reduce aggregate cigarette consumption do not account for the possible substitution from low nicotine to high nicotine cigarettes. Using similar reasoning, smokers may substitute away from the high cost legal cigarettes and instead purchase cigarettes underground.…”
Section: Introductionmentioning
confidence: 99%
“…First, using data from the NSDUH, we document that MMLs induce a 2 to 3 percentage-point increase in adult marijuana use. Turning to cigarette smoking, data from all three datasets show that the enactment of MMLs leads to an approximately 1 to 1.5 percentage-point decline in cigarette 3 While a wide body of research has examined the effects of cigarette taxes (Callison and Kaestner 2014;Cebula et al 2014;Hansen et al 2017;Carpenter and Cook 2008), informational campaigns (Adams et al 2011;Liu and Tan, 2009), and smoking bans (Bruderl and Ludwig 2011;Demperio, 2013;Sari 2013) on tobacco use, increased attention has been paid to how changes in the prices of related substances may generate spillover effects on tobacco use. See, for example, Cameron and Williams (2002);Farrelly et al (2001); Yoruk, (2011, 2013).…”
Section: Introductionmentioning
confidence: 99%