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Comparison between Online and Offline Price of Tobacco Products Using Novel Datasets

Bibliographic Data

ID15499706
AuthorsMagdalena Opazo Bretón (0000-0002-1226-7541, UK Centre for Tobacco & Alcohol Studies), John Britton (0000-0001-6375-3841, UK Centre for Tobacco & Alcohol Studies), Yue Huang (0000-0001-6993-3253, UK Centre for Tobacco & Alcohol Studies), Ilze Bogdanovica (0000-0002-2662-6293, UK Centre for Tobacco & Alcohol Studies, corresponding author)
Year2018
Volume15
Issue10
Pages2282-2282
Publication date2018-10-17
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Environmental Research and Public Health (JOURNAL)
Journal identifiersISSN: 1661-7827 • E-ISSN: 1660-4601
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph15102282
PMID30336627
OpenAlexW2895851065
LanguageEN
Citations received2
References cited11

Price of tobacco products has traditionally been relevant both for the industry, to respond to policy changes, and for governments, as an effective tobacco control measure. However, monitoring prices across a wide range of brands and brand variants requires access to expensive commercial sales databases. This study aims to investigate the comparability of average tobacco prices from two commercial sources and an in-house monitoring database which provides daily data in real time at minimal cost. We used descriptive and regression analysis to compare the monthly average numbers of brands, brand variants, products and prices of cigarettes and hand-rolling tobacco using commercial data from Nielsen Scantrack and Kantar Worldpanel , and an online price database (OPD) created in Nottingham, for the period from May 2013 to February 2017. There were marked differences in the number of products tracked in the three data sources. Nielsen was the most comprehensive and Kantar Worldpanel the least. Though average prices were very similar between the three datasets, Nottingham OPD prices were the highest and Kantar Worldpanel the lowest. However, regression analysis demonstrated that after adjustment for differences in product range, price differences between the datasets were very small. After allowing for differences in product range these data sources offer representative prices for application in price research. Online price tracking offers an inexpensive and near real-time alternative to the commercial datasets

Online and offline · Computer Science · Consumer Attitudes and Food Labeling · Economics of Agriculture and Food Markets · Nutritional Studies and Diet

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Unique citing works2
Citations per year0,29
Citation span2019 - 2019 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 2

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