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Can information costs affect consumer choice? Nutritional labels in a supermarket experiment

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  • Kiesel, Kristin
  • Villas-Boas, Sofia B.

Abstract

This paper investigates whether information costs under currently regulated nutritional labeling prevent consumers from making healthier food choices. We implement five nutritional shelf label treatments in a market-level experiment. These labels reduce information costs by highlighting and summarizing information available on the Nutritional Facts Panel. Following a difference-in-differences and synthetic control method approach, we analyze weekly store-level scanner data for microwave popcorn purchases from treatment and control stores. Our results suggest that consumer purchases are affected by information costs. Implemented low calorie and no trans fat labels increase sales. In contrast, implemented low fat labels decrease sales, suggesting that consumer response is also influenced by consumers' taste perceptions. A combination of these claims into one label treatment increases information costs and does not affect sales significantly.

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  • Kiesel, Kristin & Villas-Boas, Sofia B., 2013. "Can information costs affect consumer choice? Nutritional labels in a supermarket experiment," International Journal of Industrial Organization, Elsevier, vol. 31(2), pages 153-163.
    • Handle: RePEc:eee:indorg:v:31:y:2013:i:2:p:153-163
    DOI: 10.1016/j.ijindorg.2010.11.002
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    1. Xavier Gabaix & David Laibson, 2018. "Shrouded attributes, consumer myopia and information suppression in competitive markets," Chapters,in: Handbook of Behavioral Industrial Organization, chapter 3, pages 40-74 Edward Elgar Publishing.
    2. Todd, Jessica E. & Variyam, Jayachandran N., 2008. "The Decline in Consumer Use of Food Nutrition Labels, 1995-2006," Economic Research Report 56466, United States Department of Agriculture, Economic Research Service.
    3. Jayachandran N. Variyam & John Cawley, 2006. "Nutrition Labels and Obesity," NBER Working Papers 11956, National Bureau of Economic Research, Inc.
    4. Raj Chetty & Adam Looney & Kory Kroft, 2009. "Salience and Taxation: Theory and Evidence," American Economic Review, American Economic Association, vol. 99(4), pages 1145-1177, September.
    5. Daylian M. Cain & George Loewenstein & Don A. Moore, 2005. "The Dirt on Coming Clean: Perverse Effects of Disclosing Conflicts of Interest," The Journal of Legal Studies, University of Chicago Press, vol. 34(1), pages 1-25, January.
    6. Pauline M. Ippolito & Alan D. Mathios, 1990. "Information, Advertising and Health Choices: A Study of the Cereal Market," RAND Journal of Economics, The RAND Corporation, vol. 21(3), pages 459-480, Autumn.
    7. Olivier Bonroy & Christos Constantatos, 2008. "On the use of labels in credence goods markets," Journal of Regulatory Economics, Springer, vol. 33(3), pages 237-252, June.
    8. Mathios, Alan D, 2000. "The Impact of Mandatory Disclosure Laws on Product Choices: An Analysis of the Salad Dressing Market," Journal of Law and Economics, University of Chicago Press, vol. 43(2), pages 651-677, October.
    9. Alberto Abadie & Alexis Diamond & Jens Hainmueller, 2007. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California's Tobacco Control Program," NBER Working Papers 12831, National Bureau of Economic Research, Inc.
    10. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
    11. Roe, Brian & Teisl, Mario F., 2007. "Genetically modified food labeling: The impacts of message and messenger on consumer perceptions of labels and products," Food Policy, Elsevier, vol. 32(1), pages 49-66, February.
    12. Marianne Bertrand & Esther Duflo & Sendhil Mullainathan, 2004. "How Much Should We Trust Differences-In-Differences Estimates?," The Quarterly Journal of Economics, Oxford University Press, vol. 119(1), pages 249-275.
    13. Meyer, Bruce D, 1995. "Natural and Quasi-experiments in Economics," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(2), pages 151-161, April.
    14. Mario F. Teisl & Nancy E. Bockstael & Alan Levy, 2001. "Measuring the Welfare Effects of Nutrition Information," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(1), pages 133-149.
    15. Russo, J Edward, et al, 1986. " Nutrition Information in the Supermarket," Journal of Consumer Research, Oxford University Press, vol. 13(1), pages 48-70, June.
    16. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    17. Eliza M. Mojduszka & Julie A. Caswell, 2000. "A Test of Nutritional Quality Signaling in Food Markets Prior to Implementation of Mandatory Labeling," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(2), pages 298-309.
    18. Nelson, Phillip, 1970. "Information and Consumer Behavior," Journal of Political Economy, University of Chicago Press, vol. 78(2), pages 311-329, March-Apr.
    19. Wansink, Brian & Sonka, Steven T. & Hasler, Clare M., 2004. "Front-label health claims: when less is more," Food Policy, Elsevier, vol. 29(6), pages 659-667, December.
    20. Mandal, Bidisha, 2008. "Food Labels and Weight Loss: Evidence from the National Longitudinal Survey of Youth," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6200, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    21. Kiesel, Kristin & Villas-Boas, Sofia B., 2009. "Can Information Costs Confuse Consumer Choice?---Nutritional Labels in a Supermarket Experiment," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt6st6d0rr, Department of Agricultural & Resource Economics, UC Berkeley.
    22. Brian Roe & Ian Sheldon, 2007. "Credence Good Labeling: The Efficiency and Distributional Implications of Several Policy Approaches," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(4), pages 1020-1033.
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    1. Allais, Olivier & Etilé, Fabrice & Lecocq, Sébastien, 2015. "Mandatory labels, taxes and market forces: An empirical evaluation of fat policies," Journal of Health Economics, Elsevier, vol. 43(C), pages 27-44.
    2. Kirsten, Johann F. & Vermeulen, Hester & Van Zyl, Karlien & Du Randt, Gerrie & Du Plessis, H. & Weissnar, Tessa, 2012. "The economic potential for an origin based marketing and certification system for a meat product in South Africa: Perceptions, preferences, and experiments," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 125764, International Association of Agricultural Economists.
    3. Lint Barrage & Eric Chyn & Justine Hastings, 2014. "Advertising as Insurance or Commitment? Evidence from the BP Oil Spill," NBER Working Papers 19838, National Bureau of Economic Research, Inc.
    4. Mika Kortelainen & Jibonayan Raychaudhuri & Beatrice Roussillon, 2016. "Effects Of Carbon Reduction Labels: Evidence From Scanner Data," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 1167-1187, April.
    5. Zhu, Chen & Huang, Rui, 2014. "Heterogeneity in Consumer Responses to Front-of-Package Nutrition Labels: Evidence from a Natural Experiment?," Working Papers 27, University of Connecticut, Department of Agricultural and Resource Economics, Charles J. Zwick Center for Food and Resource Policy.
    6. Carroll, Kathryn A. & Samek, Anya Savikhin & Zepeda, Lydia, 2016. "Product Bundling as a Behavioral Nudge: Investigating Consumer Fruit and Vegetable Selection using Dual-Self Theory," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 236130, Agricultural and Applied Economics Association.
    7. Jo, Jisung & Lusk, Jayson L. & Muller, Laurent & Ruffieux, Bernard, 2016. "Value of parsimonious nutritional information in a framed field experiment," Food Policy, Elsevier, vol. 63(C), pages 124-133.
    8. repec:eee:socmed:v:192:y:2017:i:c:p:18-27 is not listed on IDEAS
    9. Li, Shuo & McCluskey, Jill J. & Mittelhammer, Ron C., 2012. "Effects of Healthier Choices on Kid's Menu: A Difference-in-Differences Analysis," Journal of Food Distribution Research, Food Distribution Research Society, vol. 43(3), November.
    10. Boztuğ, Yasemin & Juhl, Hans Jørn & Elshiewy, Ossama & Jensen, Morten Berg, 2015. "Consumer response to monochrome Guideline Daily Amount nutrition labels," Food Policy, Elsevier, vol. 53(C), pages 1-8.
    11. Liu, Xiaoou & Lopez, Rigoberto & Zhu, Chen, 2015. "Can Voluntary Nutrition Labeling Lead to a Healthier Food Market?," 2016 Allied Social Science Association (ASSA) Annual Meeting, January 3-5, 2016, San Francisco, California 212818, Agricultural and Applied Economics Association.
    12. Bedard, Kelly & Kuhn, Peter, 2015. "Micro-marketing healthier choices: Effects of personalized ordering suggestions on restaurant purchases," Journal of Health Economics, Elsevier, vol. 39(C), pages 106-122.
    13. Menapace, Luisa & Raffaelli, Roberta, 2013. "Do ‘locally grown’ claims influence artisanal food purchase? Evidence from a natural field experiment," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150282, Agricultural and Applied Economics Association.

    More about this item

    Keywords

    Information; Consumer behavior; Field experiment; Nutrition;

    JEL classification:

    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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