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来源类型Working Paper
规范类型报告
DOI10.3386/w24974
来源IDWorking Paper 24974
Smokers\u2019 Rational Lexicographic Preferences for Cigarette Package Warnings: A Discrete Choice Experiment with Eye Tracking
Jeffrey E. Harris; Mariana Gerstenblüth; Patricia Triunfo
发表日期2018-09-03
出版年2018
语种英语
摘要We asked 97 cigarette smokers to make a series of 12 binary choices between experimental cigarette packages with varying warnings and background colors. Each smoker had to decide which of the two packages contained cigarettes less risky for his health. We tested whether the smokers, confronted with warnings that were repugnant and threatening to many of them, could still make choices that adhered to the standard axioms of rational choice. We supplemented our observations on smokers’ choices with data on their eye movements. We find that participants universally made choices consistent with a complete, transitive preference ordering. We find little evidence of inconsistent choices violating the weak axiom of revealed preference. In a majority of smokers, we find strong evidence of the use of a lexicographic decision rule to assess the riskiness of a cigarette package. These smokers first ranked the two packages solely on the basis of their warnings. Only when the two packages had the same warning did they rank the packages on the basis of their color. The data on eye tracking strongly confirmed the lexicographic nature of the underlying decision rule. Our study represents an entirely different angle of inquiry into the question of rational addiction.
主题Microeconomics ; Households and Firms ; Economics of Information ; Behavioral Economics ; Health, Education, and Welfare ; Health ; Other ; Accounting, Marketing, and Personnel
URLhttps://www.nber.org/papers/w24974
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/582648
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Jeffrey E. Harris,Mariana Gerstenblüth,Patricia Triunfo. Smokers\u2019 Rational Lexicographic Preferences for Cigarette Package Warnings: A Discrete Choice Experiment with Eye Tracking. 2018.
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