2018
DOI: 10.2139/ssrn.3195500
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Identifying Food Labeling Effects on Consumer Behavior

Abstract: We take advantage of the gradual implementation of a comprehensive mandatory food labeling regulation introduced in Chile to identify its effects on consumer behavior. Using individual-level scandata from transactions in a big-box supermarket, we estimate a demand model for differentiated products in which a food label indicator captures the warning label effect. We find sizable effects on juices and cereals, but no impact on chocolates & candies and cookies. Our results are consistent with the information dis… Show more

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Cited by 25 publications
(30 citation statements)
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“…In the case of evaluations, only a process evaluation was considered 6 months after the implementation of the law and therefore, it only would be able to provide information on self‐reported compliance and people's self‐reported perceptions . More detailed evaluations considering consumer understanding of the warning label, changes in food purchases and dietary intake, and the industry responses through food reformulation currently are being conducted by national and international scholars . Given the multifactorial and complex nature of the obesity epidemic, it is expected that obesity trends will not immediately level off; therefore, it becomes crucial to measure intermediate outcomes such as consumer's behaviours to make sure that regulatory actions are achieving their intended impact.…”
Section: Discussionmentioning
confidence: 99%
“…In the case of evaluations, only a process evaluation was considered 6 months after the implementation of the law and therefore, it only would be able to provide information on self‐reported compliance and people's self‐reported perceptions . More detailed evaluations considering consumer understanding of the warning label, changes in food purchases and dietary intake, and the industry responses through food reformulation currently are being conducted by national and international scholars . Given the multifactorial and complex nature of the obesity epidemic, it is expected that obesity trends will not immediately level off; therefore, it becomes crucial to measure intermediate outcomes such as consumer's behaviours to make sure that regulatory actions are achieving their intended impact.…”
Section: Discussionmentioning
confidence: 99%
“…Real-world effects of nutrition labeling in the supermarket were examined previously [ 15 , 16 , 18 23 ], but a comparison of study findings is not straight forward. The methodological designs (natural experiment or randomized controlled trial), analytic approaches (CITS, ITSA, or between group comparison), the placement of the nutrition labels (FOP, on-shelf or via a mobile app), the type of labels (nutrient-specific or summary system), and the food categories on which the labels are implemented all vary across studies.…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, evidence from natural experiments are also needed as these results are more generalizable. Six studies using data from experiments in supermarket settings showed mixed evidence regarding the effect of nutrient-specific FOP labels [ 18 20 ] and the on-shelf Guiding Star summary scheme [ 21 23 ] on food sales or purchases. These studies used various types of labels implemented across various food categories – potentially explaining the mixed results.…”
Section: Introductionmentioning
confidence: 99%
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“…1a and b). These food groups were selected because they include products that have been associated with increasing diet-related noncommunicable diseases (i.e., savory snacks, breakfast cereals, sweetened beverages, fast food, milk and dairy sweetened products) [32] and are susceptible to consumer-behavior change according to previous studies [33]. Food products were classified according to their nutritional quality with the Nutrient Profiling Scoring Criterion (NPSC) model and a variety of products ranging in their nutritional quality were selected.…”
Section: ) Ecuadorian Multiple Traffic Lights (Mtl)mentioning
confidence: 99%