2018
DOI: 10.1016/j.jhealeco.2018.08.001
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The relationship between cigarettes and electronic cigarettes: Evidence from household panel data

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Cited by 50 publications
(48 citation statements)
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References 36 publications
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“…Three of these studies found that ENDS MLSAs increased teen smoking by approximately 0.8 to 1.0 pp (Dave, Feng, & Pesko, 2019;Friedman, 2015;Pesko, Hughes, & Faisal, 2016), while a fourth study used Monitoring the Future data and found that ENDS MLSAs decreased smoking participation of high school seniors by 2.0 pp (Abouk & Adams, 2017). At least one other study suggests that ENDS are complements with cigarettes, although within a sample of primarily adult cigarette smokers (Cotti, Nesson, & Tefft, 2018). Our study will help shed light on this issue using a longitudinal analysis.…”
Section: Department Ofmentioning
confidence: 77%
“…Three of these studies found that ENDS MLSAs increased teen smoking by approximately 0.8 to 1.0 pp (Dave, Feng, & Pesko, 2019;Friedman, 2015;Pesko, Hughes, & Faisal, 2016), while a fourth study used Monitoring the Future data and found that ENDS MLSAs decreased smoking participation of high school seniors by 2.0 pp (Abouk & Adams, 2017). At least one other study suggests that ENDS are complements with cigarettes, although within a sample of primarily adult cigarette smokers (Cotti, Nesson, & Tefft, 2018). Our study will help shed light on this issue using a longitudinal analysis.…”
Section: Department Ofmentioning
confidence: 77%
“…Few studies estimate the effect of tobacco control policies on e-cigarette use itself. One exception is Cotti, Nesson, and Tefft (2018). The authors examine the effects of traditional cigarette taxes and other tobacco control policies, including indoor vaping restrictions (IVRs) and indoor smoking restrictions (ISRs), on adult households' purchases of e-cigarettes and other tobacco products using the Nielsen Consumer Panel data.…”
Section: Literature Review and Backgroundmentioning
confidence: 99%
“…To address these challenges, we estimate our main models of e-cigarette sales using the liquid volume in each e-cigarette, as in Cotti, Nesson, and Tefft (2018). We match UPCs in the NRSD to additional product characteristics using correspondences with e-cigarette companies, internet searches, and in-person visits to retailers conducted by members of the research team.…”
Section: Data a Nielsen Retail Scanner Data (Nrsd)mentioning
confidence: 99%
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“…Using a differences-in-differences approach, Cotti, Nesson and Tefft (2018) increased the tax to 95 percent of the wholesale price. They use a "synthetic control difference-in-difference" model that involves constructing a weighted control group that exhibits similar smoking trends to Minnesota prior to 2010.…”
Section: Zheng Et Al (2017) Estimate a System Of Linear Demand Equatmentioning
confidence: 99%