The effects of tobacco 21 laws on smoking and vaping: Evidence from panel data and biomarkers

IF 3.4 2区 经济学 Q1 ECONOMICS
Chad Cotti , Philip DeCicca , Erik Nesson
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引用次数: 0

Abstract

We use data from the Population Assessment of Tobacco Use and Health (PATH), a longitudinal data set including self-reported and biomarker measures of tobacco use, to examine the effects of state-level tobacco 21 (T21) laws on smoking and vaping. T21 laws reduce self-reported cigarette smoking among 18-to-20 year olds, concentrated in males. Initial non-users who “age-out” of treatment are less likely to subsequently initiate self-reported smoking or vaping. Treated smokers are less likely to buy their own cigarettes and more likely to buy cigarettes in a different state. Biomarker results are mixed, and we find some evidence of a reduction in nicotine exposure but less evidence for a reduction in exposure to tobacco. Finally, we test for non-classical measurement error. T21 laws reduce the probability that clinically identified likely cigarette smokers self-report as smokers, which may increase the apparent effect of T21 laws on cigarette smoking as measured by self-reports.
烟草 21 法案对吸烟和吸食电子烟的影响:来自面板数据和生物标志物的证据
我们利用烟草使用和健康人群评估(PATH)的数据(这是一个纵向数据集,包括烟草使用的自我报告和生物标记测量)来研究州一级的烟草 21(T21)法律对吸烟和吸食电子烟的影响。T21法律降低了18至20岁青少年自我报告的吸烟率,主要集中在男性。最初不吸烟但 "退出 "治疗的人随后开始自我报告吸烟或吸食电子烟的可能性较低。接受过治疗的吸烟者不太可能自己购买香烟,而更有可能在不同的州购买香烟。生物标志物的结果好坏参半,我们发现了一些尼古丁暴露减少的证据,但烟草暴露减少的证据较少。最后,我们检验了非经典测量误差。T21 法案降低了临床识别出的可能吸烟者自我报告为吸烟者的概率,这可能会增加 T21 法案对自我报告所衡量的吸烟情况的明显影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Health Economics
Journal of Health Economics 医学-卫生保健
CiteScore
6.10
自引率
2.90%
发文量
96
审稿时长
49 days
期刊介绍: This journal seeks articles related to the economics of health and medical care. Its scope will include the following topics: Production and supply of health services; Demand and utilization of health services; Financing of health services; Determinants of health, including investments in health and risky health behaviors; Economic consequences of ill-health; Behavioral models of demanders, suppliers and other health care agencies; Evaluation of policy interventions that yield economic insights; Efficiency and distributional aspects of health policy; and such other topics as the Editors may deem appropriate.
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