scholarly journals Behavioral economic measurement of cigarette demand: A descriptive review of published approaches to the cigarette purchase task.

2020 ◽  
Vol 28 (6) ◽  
pp. 688-705 ◽  
Author(s):  
Derek D. Reed ◽  
Gideon P. Naudé ◽  
Allyson R. Salzer ◽  
Michael Peper ◽  
Amalia L. Monroe-Gulick ◽  
...  
Keyword(s):  
Behavioral Economic ◽  
Cigarette Demand ◽  
Cigarette Purchase Task

scholarly journals High-resolution behavioral economic analysis of cigarette demand to inform tax policy

Addiction ◽  
2012 ◽  
Vol 107 (12) ◽  
pp. 2191-2200 ◽  
Author(s):  
James MacKillop ◽  
Lauren R. Few ◽  
James G. Murphy ◽  
Lauren M. Wier ◽  
John Acker ◽  
...  
Keyword(s):  
High Resolution ◽  
Economic Analysis ◽  
Tax Policy ◽  
Behavioral Economic ◽  
Cigarette Demand

Behavioral economic cigarette demand among individuals who smoke with and without obesity.

2021 ◽  
Vol 40 (10) ◽  
pp. 666-673
Author(s):  
Warren K. Bickel ◽  
Roberta Freitas-Lemos ◽  
Allison N. Tegge ◽  
Devin C. Tomlinson ◽  
Leonard H. Epstein
Keyword(s):  
Behavioral Economic ◽  
Cigarette Demand

scholarly journals The impact of vaping and regulatory environment on cigarette demand: behavioral economic perspective across four countries

Addiction ◽  
2019 ◽  
Vol 114 (S1) ◽  
pp. 123-133 ◽  
Author(s):  
Bryan W. Heckman ◽  
Geoffrey T. Fong ◽  
Ron Borland ◽  
Sara Hitchman ◽  
Richard J. O’Connor ◽  
...  
Keyword(s):  
Regulatory Environment ◽  
Economic Perspective ◽  
Behavioral Economic ◽  
Cigarette Demand ◽  
The Impact

scholarly journals Validation of an E-cigarette Purchase Task in Advanced Generation Device Users

2020 ◽  
Vol 22 (10) ◽  
pp. 1851-1859 ◽  
Author(s):  
Rachel N Cassidy ◽  
Victoria Long ◽  
Jennifer W Tidey ◽  
Suzanne M Colby
Keyword(s):  
Comparison Method ◽  
Cigarette Use ◽  
Behavioral Economic ◽  
Reinforcing Efficacy ◽  
Use Patterns ◽  
Reinforcing Value ◽  
Clinical Indices ◽  
Cigarette Dependence ◽  
Advanced Generation ◽  
Cigarette Purchase Task

Abstract Introduction Behavioral economic purchase tasks are used to estimate the reinforcing value of drugs by asking participants how much they would purchase across a range of increasing prices. We sought to validate such a task for e-cigarettes in experienced users of advanced generation, tank-style devices. Methods Dual users of cigarettes and e-cigarettes (N = 54) and exclusive e-cigarette users (N = 59) attended one session during which they completed assessments including two versions of the E-cigarette Purchase Task: one that asked how many puffs of their e-cigarette they would purchase in 24 hours at varying prices and one that asked how many mLs of e-liquid they would purchase. We correlated purchase task outcomes with other measures of e-cigarette use. We also compared the tasks across dual and exclusive users. Results Indices derived from the mLs-based task were more likely to be correlated with self-reported use rates, e-cigarette dependence, and cotinine levels than the puffs-based task. Exclusive users showed greater demand on than dual users only on the mLs version when using an F-test comparison method, while multivariate analysis of variance (MANOVA) results showed that dual users showed greater demand only on the puffs task. Conclusions Results indicate that the mLs version had greater validity than the puffs version in terms of clinical indices. Dual users may still be on a trajectory to fully switching to e-cigarettes; thus, puffs as a measure may be more intuitive, as this measure is shared by cigarettes and e-cigarettes. For exclusive users, the unit they purchase their e-liquid in may be the most relevant unit and better capture their demand for that product. Implications Behavioral economic purchase tasks have been widely used to understand nicotine use. We have developed two versions of a purchase task for e-cigarette use and compared the two versions in users of advanced generation e-cigarette devices. We found that the mLs version of the task better-reflected use patterns relative to a puffs version, which suggests that participants struggle to place monetary value on a unit of consumption (ie, puffs). Validated measures of e-cigarette reinforcement will be important as researchers and regulators determine which features of these products contribute to reinforcing efficacy.

scholarly journals Latent factor structure of a behavioral economic cigarette demand curve in adolescent smokers

2012 ◽  
Vol 37 (11) ◽  
pp. 1257-1263 ◽  
Author(s):  
L. Cinnamon Bidwell ◽  
James MacKillop ◽  
James G. Murphy ◽  
Jennifer W. Tidey ◽  
Suzanne M. Colby
Keyword(s):  
Factor Structure ◽  
Demand Curve ◽  
Latent Factor ◽  
Behavioral Economic ◽  
Cigarette Demand ◽  
Adolescent Smokers

scholarly journals Behavioral Economic Assessment of Alcohol and Cigarette Demand in Smokers With Alcohol Use Disorder

2021 ◽  
Vol 12 ◽  
Author(s):  
Yong Cui ◽  
Paulina Linares Abrego ◽  
Jin Ho Yoon ◽  
Maher Karam-Hage ◽  
Paul M. Cinciripini ◽  
...  
Keyword(s):  
Alcohol Use ◽  
Alcohol Use Disorder ◽  
Principal Component ◽  
Economic Assessment ◽  
Behavioral Economic ◽  
Substance Exposure ◽  
Cigarette Demand ◽  
Alcohol Demand ◽  
Quitting Smoking ◽  
Response Output

Background and Objectives: Behavioral economic purchase tasks are widely used to assess drug demand in substance use disorder research. Comorbid alcohol use is common among cigarette smokers and associated with greater difficulty in quitting smoking. However, demand for alcohol and cigarettes in this population has not been fully characterized. The present study addressed this gap by examining alcohol and cigarette demand among treatment-seeking smokers with alcohol use disorder (AUD).Methods: Alcohol and cigarette demand was assessed among 99 smokers with AUD. We conducted Principal Component Analysis (PCA) and correlational analyses on the demand indices.Results: Participants showed higher demand for alcohol than for cigarettes, as evidenced lower elasticity (resistance to increasing price) and higher Omax (maximum response output for drug). PCA revealed a two-factor structure (Persistence and Amplitude) for both alcohol and cigarette demand indices. Cigarette-related demand indices were positively correlated with nicotine dependence, but alcohol-related demand indices were not associated with alcohol dependence, suggesting dissociation between alcohol demand and use behaviors.Discussion and Conclusions: Our results suggest that smokers with AUD were more resistant to price elevations in relation to reducing alcohol consumption as compared to cigarette consumption, suggesting preferential demand for alcohol over cigarettes. However, it is unclear how acute substance exposure/withdrawal impacts the demand indices.Scientific Significance: Potentially differential alcohol and cigarette demands among smokers with AUD should be considered in the concurrent treatment of smoking and alcohol.

scholarly journals Behavioral Economic Demand for Alcohol and Cigarettes in Heavy Drinking Smokers: Evidence of Asymmetric Cross-commodity Reinforcing Value

2020 ◽  
Author(s):  
ReJoyce Green ◽  
James MacKillop ◽  
Emily E Hartwell ◽  
Aaron C Lim ◽  
Wave-Ananda Baskerville ◽  
...  
Keyword(s):  
Clinical Sample ◽  
Community Sample ◽  
Heavy Drinking ◽  
The Other ◽  
Cigarette Use ◽  
Latent Factors ◽  
Behavioral Economic ◽  
Cigarette Demand ◽  
Alcohol Demand ◽  
Alcohol Purchase Task

Abstract Introduction Previous studies have highlighted a strong bidirectional relationship between cigarette and alcohol consumption. To advance our understanding of this relationship the present study uses a behavioral economic approach in a community sample (N = 383) of nontreatment seeking heavy drinking smokers. Aims and Methods The aims were to examine same-substance and cross-substance relationships between alcohol and cigarette use, and latent factors of demand. A community sample of nontreatment seeking heavy drinking smokers completed an in-person assessment battery including measures of alcohol and tobacco use as well as the Cigarette Purchase Task and the Alcohol Purchase Task. Latent factors of demand were derived from these hypothetical purchase tasks. Results Results revealed a positive correlation between paired alcohol and cigarette demand indices (eg, correlation between alcohol intensity and cigarette intensity) (rs = 0.18–0.46, p ≤ .003). Over and above alcohol factors, cigarette use variables (eg, Fagerström Test for Nicotine Dependence and cigarettes per smoking day) significantly predicted an additional 4.5% (p < .01) of the variance in Persistence values but not Amplitude values for alcohol. Over and above cigarette factors, alcohol use variables predicted cigarette Persistence values (ΔR2 = .013, p = .05), however, did not predict Amplitude values. Conclusions These results advance our understanding of the overlap between cigarette and alcohol by demonstrating that involvement with one substance was associated with demand for the other substance. This asymmetric profile—from smoking to alcohol demand, but not vice versa—suggests that it is not simply tapping into a generally higher reward sensitivity and warrants further investigation. Implications To our knowledge, no study to date has examined alcohol and cigarette demand, via hypothetical purchase tasks, in a clinical sample of heavy drinking smokers. This study demonstrates that behavioral economic indices may be sensitive to cross-substance relationships and specifically that such relationships are asymmetrically stronger for smoking variables affecting alcohol demand, not the other way around.

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