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Using Extremeness Aversion to Fight Obesity: Policy Implications of Context Dependent Demand

Using Extremeness Aversion to Fight Obesity: Policy Implications of Context Dependent Demand This article illustrates how the compromise effect alters consumers' selection of soft drinks. Using three within-subject studies, we show that extremeness aversion and price insensitivity cause consumers to increase their consumption when the smallest drink size is dropped or when a larger drink size is added to a set. As a result rational firms find it best to drop the smaller sizes and add a larger size, thus increasing overall consumption. After estimating each individual's demand as a function of price and drink size availability, policy experiments demonstrate how it is possible to reduce soft drink consumption without additional taxation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Consumer Research Oxford University Press

Using Extremeness Aversion to Fight Obesity: Policy Implications of Context Dependent Demand

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References (87)

Publisher
Oxford University Press
Copyright
© 2008 by JOURNAL OF CONSUMER RESEARCH, Inc.
ISSN
0093-5301
eISSN
1537-5277
DOI
10.1086/587631
Publisher site
See Article on Publisher Site

Abstract

This article illustrates how the compromise effect alters consumers' selection of soft drinks. Using three within-subject studies, we show that extremeness aversion and price insensitivity cause consumers to increase their consumption when the smallest drink size is dropped or when a larger drink size is added to a set. As a result rational firms find it best to drop the smaller sizes and add a larger size, thus increasing overall consumption. After estimating each individual's demand as a function of price and drink size availability, policy experiments demonstrate how it is possible to reduce soft drink consumption without additional taxation.

Journal

Journal of Consumer ResearchOxford University Press

Published: Oct 1, 2008

Keywords: Health, Nutrition, Safety; Situation/Context Issues; Public Policy Issues; Optimization; Conjoint Analysis

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