作者: Sarah E. Snider , K. Michael Cummings , Warren K. Bickel
DOI: 10.1016/J.DRUGALCDEP.2017.03.017
关键词: Function (engineering) 、 Advertising 、 Popularity 、 Purchasing 、 Behavioral economics 、 Frequency of use 、 Cigarette use 、 Consumption (economics) 、 Crowdsourcing
摘要: Abstract Background Models measuring the interactions between consumption of conventional cigarettes and electronic (e-cigarettes) in marketplace are becoming vital forecast tools as popularity e-cigarettes increases policy on tobacco products changes. Behavioral economics, which involves integration psychology consumer demand, can be used to measure individuals’ purchase behavior under different conditions. Our goal was hypothetical cigarette e-cigarette purchasing among smokers with varying use patterns. Methods Daily were recruited using Amazon Mechanical Turk, an online crowdsourcing tool. Participants asked about their frequency complete single cross-commodity tasks. Results Frequency differentially affected how individuals consumed both e- The present study demonstrates four main findings: 1) demand for lowest those greater use, 2) highest 3) when available together, daily users purchased more e-cigarettes, but served a substitute all groups regardless 4) lower frequent concurrently available. Conclusions Together, these data suggest that price conditions will impact heterogeneously. Therefore, patterns should considered implementing novel policies and/or