Literature DB >> 16475245

Alcohol advertising and alcohol consumption by adolescents.

Henry Saffer1, Dhaval Dave.   

Abstract

This study investigates the effects of alcohol advertising on adolescent alcohol consumption. The theory of an industry response function and evidence from prior studies indicate the importance of maximizing the variance in advertising measures. Monitoring the Future (MTF) and National Longitudinal Survey of Youth 1997 (NLSY97) data are augmented with alcohol advertising, originating on the market level, for five media. The large sample of the MTF allows estimation of race and gender-specific models. The longitudinal nature of the NLSY97 allows controls for unobserved heterogeneity with state-level and individual fixed effects. Price and advertising effects are generally larger for females relative to males. Controls for individual heterogeneity yield larger advertising effects, implying that the MTF results may understate the effects of alcohol advertising. Results from the NLSY97 suggest that a 28% reduction in alcohol advertising would reduce adolescent monthly alcohol participation from 25% to between 24 and 21%. For binge participation, the reduction would be from 12% to between 11 and 8%. The past month price-participation elasticity is estimated at -0.26, consistent with prior studies. The results show that reduction of alcohol advertising can produce a modest decline in adolescent alcohol consumption, though effects may vary by race and gender. Copyright 2005 John Wiley & Sons, Ltd.

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Mesh:

Year:  2006        PMID: 16475245     DOI: 10.1002/hec.1091

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  17 in total

1.  Television and Magazine Alcohol Advertising: Exposure and Trends by Sex and Age.

Authors:  Dean R Lillard; Eamon Molloy; Hua Zan
Journal:  J Stud Alcohol Drugs       Date:  2018-11       Impact factor: 2.582

2.  Reducing youth exposure to alcohol ads: targeting public transit.

Authors:  Michele Simon
Journal:  J Urban Health       Date:  2008-07       Impact factor: 3.671

3.  The relationship between exposure to brand-specific alcohol advertising and brand-specific consumption among underage drinkers--United States, 2011-2012.

Authors:  Michael Siegel; Craig S Ross; Alison B Albers; William DeJong; Charles King; Timothy S Naimi; David H Jernigan
Journal:  Am J Drug Alcohol Abuse       Date:  2015-10-19       Impact factor: 3.829

4.  The relationships between alcohol source, autonomy in brand selection, and brand preference among youth in the USA.

Authors:  Sarah P Roberts; Michael B Siegel; William DeJong; Timothy S Naimi; David H Jernigan
Journal:  Alcohol Alcohol       Date:  2014-06-12       Impact factor: 2.826

Review 5.  What is learned from longitudinal studies of advertising and youth drinking and smoking? A critical assessment.

Authors:  Jon P Nelson
Journal:  Int J Environ Res Public Health       Date:  2010-03-08       Impact factor: 3.390

6.  Gender differences in hazardous drinking among middle-aged in Europe: the role of social context and women's empowerment.

Authors:  Marina Bosque-Prous; Albert Espelt; Carme Borrell; Montse Bartroli; Anna M Guitart; Joan R Villalbí; M Teresa Brugal
Journal:  Eur J Public Health       Date:  2015-01-22       Impact factor: 3.367

7.  Alcohol demand and risk preference.

Authors:  Dhaval Dave; Henry Saffer
Journal:  J Econ Psychol       Date:  2008-12

Review 8.  Alcohol: taking a population perspective.

Authors:  William Gilmore; Tanya Chikritzhs; Tim Stockwell; David Jernigan; Timothy Naimi; Ian Gilmore
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2016-05-18       Impact factor: 46.802

9.  Brands matter: Major findings from the Alcohol Brand Research Among Underage Drinkers (ABRAND) project.

Authors:  Sarah P Roberts; Michael B Siegel; William DeJong; Craig S Ross; Timothy Naimi; Alison Albers; Margie Skeer; David L Rosenbloom; David H Jernigan
Journal:  Addict Res Theory       Date:  2015-06-04

10.  Demand for smokeless tobacco: role of advertising.

Authors:  Dhaval Dave; Henry Saffer
Journal:  J Health Econ       Date:  2013-04-02       Impact factor: 3.883

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