Abstract:Because of the high social cost of cigarette smoking, many countries impose advertising restrictions to reduce cigarette consumption. Yet previous studies conclude that advertising constraints have been ineffective at reducing cigarette smoking. This conclusion is incorrect because it ignores the fact that advertising restrictions have supply as well as demand effects. The authors extend existing research by showing that advertising regulations, especially those found in the recent National Tobacco Settlement,… Show more
“…While the indirect effect of advertising restrictions is beyond the scope of this analysis, it can and has been explored in a general equilibrium setting. Based on U.S. data, Iwasaki, Tremblay, and Tremblay (2006) show in a general equilibrium framework that the indirect effects of advertising regulation dominate the direct market effects, and that advertising bans end up reducing equilibrium consumption by decreasing price competition among tobacco suppliers rather than by lowering market demand among consumers. While extrapolating this evidence to developing countries must be done with caution, it shows that even as market demand equations such as the ones in this paper fail to present evidence of a strong advertising ban impact on market demand, the bans could still impact equilibrium consumption as decreased price competition in the cigarette market sustains a higher price level (Farr, Tremblay, and Tremblay 2001; Gallet 2003; Iwasaki, Tremblay, and Tremblay 2006).…”
Section: Discussionmentioning
confidence: 99%
“…Blecher (2008) evaluates aggregate data from 30 developed and developing countries and finds similar evidence that the impact of bans is largest when they are most comprehensive; however, both studies may be limited by nonstationarity of cigarette consumption data. Using U.S. data, Iwasaki, Tremblay, and Tremblay (2006) conclude that even if advertising restrictions do not decrease market demand, they are still effective in decreasing the equilibrium cigarette consumption in the United States due to supply side effects from reduced price competition. In contrast, Nelson (2003a) evaluates data from 20 OECD countries and concludes that the causal link between advertising bans and cigarette consumption flows not from bans to consumption but, rather, from consumption to bans—i.e., the change in political climate that was concurrent with reduced consumption led to the introduction of stricter bans.…”
The goal of this paper is to evaluate the impact of cigarette advertising on smoking among youth in developing countries. Using micro‐level data from 19 developing countries, we examine the structural relationship between smoking behavior and advertising exposure and the reduced‐form relationship between smoking and advertising bans. Instrumental variables are used to address the endogeneity of advertising exposure. Country‐specific unobserved heterogeneity is further reduced by controlling for measures of antismoking sentiment and cigarette prices. After accounting for the endogeneity of advertising, we find that the positive correlation between smoking and advertising exposure in our sample can be largely explained by the disproportionately higher propensity of smokers to observe advertising rather than a direct causal effect of advertising on smoking. (JEL I12, I18)
“…While the indirect effect of advertising restrictions is beyond the scope of this analysis, it can and has been explored in a general equilibrium setting. Based on U.S. data, Iwasaki, Tremblay, and Tremblay (2006) show in a general equilibrium framework that the indirect effects of advertising regulation dominate the direct market effects, and that advertising bans end up reducing equilibrium consumption by decreasing price competition among tobacco suppliers rather than by lowering market demand among consumers. While extrapolating this evidence to developing countries must be done with caution, it shows that even as market demand equations such as the ones in this paper fail to present evidence of a strong advertising ban impact on market demand, the bans could still impact equilibrium consumption as decreased price competition in the cigarette market sustains a higher price level (Farr, Tremblay, and Tremblay 2001; Gallet 2003; Iwasaki, Tremblay, and Tremblay 2006).…”
Section: Discussionmentioning
confidence: 99%
“…Blecher (2008) evaluates aggregate data from 30 developed and developing countries and finds similar evidence that the impact of bans is largest when they are most comprehensive; however, both studies may be limited by nonstationarity of cigarette consumption data. Using U.S. data, Iwasaki, Tremblay, and Tremblay (2006) conclude that even if advertising restrictions do not decrease market demand, they are still effective in decreasing the equilibrium cigarette consumption in the United States due to supply side effects from reduced price competition. In contrast, Nelson (2003a) evaluates data from 20 OECD countries and concludes that the causal link between advertising bans and cigarette consumption flows not from bans to consumption but, rather, from consumption to bans—i.e., the change in political climate that was concurrent with reduced consumption led to the introduction of stricter bans.…”
The goal of this paper is to evaluate the impact of cigarette advertising on smoking among youth in developing countries. Using micro‐level data from 19 developing countries, we examine the structural relationship between smoking behavior and advertising exposure and the reduced‐form relationship between smoking and advertising bans. Instrumental variables are used to address the endogeneity of advertising exposure. Country‐specific unobserved heterogeneity is further reduced by controlling for measures of antismoking sentiment and cigarette prices. After accounting for the endogeneity of advertising, we find that the positive correlation between smoking and advertising exposure in our sample can be largely explained by the disproportionately higher propensity of smokers to observe advertising rather than a direct causal effect of advertising on smoking. (JEL I12, I18)
“…Avery, Kenkel, and Dean (2006) find that smokers exposed to cessation advertising are more likely to attempt to quit and to succeed in quitting. Iwasaki, Tremblay, and Tremblay (2006) conclude that restrictions on cigarette advertising lower cigarette consumption. However, the statistical impact on cigarette demand from antismoking information and advertising campaigns is either nonexistent (Tremblay and Tremblay, 1995) or of limited impact (statistical probability at the 10% level) (Yorozu and Zhou, 2002).…”
"In 2001 and 2002, the Korean government dramatically increased cigarette taxes, anti-smoking advertisements, and smoking prohibitions as part of an anti-smoking campaign. This paper examines the impacts of these policy changes by modeling quit success and smoking intentions pre- and post-policy and attributing model differences to anti-smoking policies. Model results provide evidence that national anti-smoking policies increased both quitting success and intention to quit. However, the impacts of these policies are uneven throughout Korean society. Females and those who exercise for health maintenance experienced higher quit success. Heavy smokers and high frequency alcohol drinkers stated they are less likely to quit smoking post-policy. One impact of national anti-smoking policies is reduced provincial differences among Koreans in both quit success and intention to quit. Future anti-smoking policies should address the different needs of these groups." ("JEL" D12, I19) Copyright (c) 2009 Western Economic Association International.
“…If input substitutability is high in the U.S. cigarette industry, then the Broadcast Advertising Ban would not be excessively costly to producers, because they could mitigate the effect of the Ban by reallocating expenditures from broadcast to unrestricted media. 8 For a discussion of other welfare issues involving advertising restrictions in the U.S. cigarette market, see Farr et al (2001) and Iwasaki et al (2006). and is efficient when the score equals 1 (i.e., A = B).…”
Section: Production and Marketing Technologymentioning
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