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The Value and Cost of Restaurant Calorie Labels: Results from a Field Experiment

Author

Listed:
  • Ellison, Brenna D.
  • Lusk, Jayson L.
  • Davis, David W.

Abstract

Using field experiment data, we estimate a structural model of consumer demand to determine the value of information for restaurant menu labels. Our experimental design allows us to compare the effectiveness of calorie labels to a “fat tax” at reducing caloric intake. Results show numeric labels did not influence demand, but symbolic traffic light labels reduced the marginal utility of caloric intake. Our model projects both labels would reduce intake more than high-calorie taxes or low-calorie subsidies. Ultimately, traffic light calorie labels led to the largest reduction in caloric intake but also one of the largest reductions in restaurant net returns.

Suggested Citation

  • Ellison, Brenna D. & Lusk, Jayson L. & Davis, David W., 2012. "The Value and Cost of Restaurant Calorie Labels: Results from a Field Experiment," 2012 AAEA/EAAE Food Environment Symposium 123529, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaeafe:123529
    DOI: 10.22004/ag.econ.123529
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    References listed on IDEAS

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    1. Pulos, E. & Leng, K., 2010. "Evaluation of a voluntary menu-labeling program in full-service restaurants," American Journal of Public Health, American Public Health Association, vol. 100(6), pages 1035-1039.
    2. Burton, S. & Creyer, E.H. & Kees, J. & Huggins, K., 2006. "Attacking the obesity epidemic: The potential health benefits of providing nutrition information in restaurants," American Journal of Public Health, American Public Health Association, vol. 96(9), pages 1669-1675.
    3. Pierre Chandon & Brian Wansink, 2007. "The Biasing Health Halos of Fast-Food Restaurant Health Claims: Lower Calorie Estimates and Higher Side-Dish Consumption Intentions," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 34(3), pages 301-314, June.
    4. Fred Kuchler & Abebayehu Tegene & J. Michael Harris, 2005. "Taxing Snack Foods: Manipulating Diet Quality or Financing Information Programs?," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 27(1), pages 4-20.
    5. Schroeter, Christiane & Lusk, Jayson & Tyner, Wallace, 2008. "Determining the impact of food price and income changes on body weight," Journal of Health Economics, Elsevier, vol. 27(1), pages 45-68, January.
    6. Michael L. Anderson & David A. Matsa, 2011. "Are Restaurants Really Supersizing America?," American Economic Journal: Applied Economics, American Economic Association, vol. 3(1), pages 152-188, January.
    7. Senarath Dharmasens & Oral Capps, Jr., 2011. "Intended and Unintended Consequences of a Proposed National Tax on Sugar-Sweetened Beverages to Combat the U.S. Obesity Problem," Reports 285214, Texas A&M University, Agribusiness, Food, and Consumer Economics Research Center.
    8. Todd, Jessica E. & Mancino, Lisa & Lin, Biing-Hwan, 2010. "The Impact of Food Away from Home on Adult Diet Quality," Economic Research Report 58298, United States Department of Agriculture, Economic Research Service.
    9. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
    10. Foster, William & Just, Richard E., 1989. "Measuring welfare effects of product contamination with consumer uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 17(3), pages 266-283, November.
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    Cited by:

    1. Zaffou, Madiha & Campbell, Benjamin, 2016. "The Impact of Restaurant Menu Labeling on the Cost of the Selected Meals," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229941, Southern Agricultural Economics Association.
    2. Zaffou, Madiha & Campbell, Benjamin, 2015. "The Effect of Restaurant Menu Labeling on Consumer’s Choice: Evidence from a Choice Experiment Involving Eye-Tracking," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 206194, Agricultural and Applied Economics Association.
    3. 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.

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    Keywords

    Food Consumption/Nutrition/Food Safety;

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