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Measuring the impact of calorie labeling: The mechanisms behind changes in obesity

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  • Rodrigo Aranda
  • Michael Darden
  • Donald Rose

Abstract

Learning the true calorie content of fast food may induce consumers to change behavior, yet recent evidence is mixed on whether calorie labels cause consumers to order healthier meals. Especially for individuals for whom consumption of highly caloric fast‐food is habitual, a rational response to calorie labeling may instead be to maintain consumption levels but increase physical activity. Using American Time Use Survey data from 2004 to 2012, we show that the 2008 New York City Calorie Labeling Mandate significantly improved several measures of physical activity, including overall metabolic equivalents of task units and minutes of sedentary activity. Our results translate to an average extra 28 calories burned per day or a 0.6 kg weight decrease for the average person over one year. These results provide a plausible mechanism for calorie labeling mandates to lower obesity rates, which we demonstrate in the New York City context.

Suggested Citation

  • Rodrigo Aranda & Michael Darden & Donald Rose, 2021. "Measuring the impact of calorie labeling: The mechanisms behind changes in obesity," Health Economics, John Wiley & Sons, Ltd., vol. 30(11), pages 2858-2878, November.
  • Handle: RePEc:wly:hlthec:v:30:y:2021:i:11:p:2858-2878
    DOI: 10.1002/hec.4415
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    as
    1. James G. MacKinnon & Matthew D. Webb, 2018. "The wild bootstrap for few (treated) clusters," Econometrics Journal, Royal Economic Society, vol. 21(2), pages 114-135, June.
    2. Bruno Ferman & Cristine Pinto, 2019. "Inference in Differences-in-Differences with Few Treated Groups and Heteroskedasticity," The Review of Economics and Statistics, MIT Press, vol. 101(3), pages 452-467, July.
    3. John Cawley & Alex Susskind & Barton Willage, 2020. "The Impact of Information Disclosure on Consumer Behavior: Evidence from a Randomized Field Experiment of Calorie Labels on Restaurant Menus," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 39(4), pages 1020-1042, September.
    4. Timothy G. Conley & Christopher R. Taber, 2011. "Inference with "Difference in Differences" with a Small Number of Policy Changes," The Review of Economics and Statistics, MIT Press, vol. 93(1), pages 113-125, February.
    5. Hainmueller, Jens, 2012. "Entropy Balancing for Causal Effects: A Multivariate Reweighting Method to Produce Balanced Samples in Observational Studies," Political Analysis, Cambridge University Press, vol. 20(1), pages 25-46, January.
    6. 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.
    7. Brandon J. Restrepo, 2017. "Calorie Labeling in Chain Restaurants and Body Weight: Evidence from New York," Health Economics, John Wiley & Sons, Ltd., vol. 26(10), pages 1191-1209, October.
    8. Janet Currie & Stefano DellaVigna & Enrico Moretti & Vikram Pathania, 2010. "The Effect of Fast Food Restaurants on Obesity and Weight Gain," American Economic Journal: Economic Policy, American Economic Association, vol. 2(3), pages 32-63, August.
    9. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    10. Dumanovsky, T. & Huang, C.Y. & Bassett, M.T. & Silver, L.D., 2010. "Consumer awareness of fast-food calorie information in new york city after implementation of a menu labeling regulation," American Journal of Public Health, American Public Health Association, vol. 100(12), pages 2520-2525.
    11. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    12. Ferman, Bruno & Pinto, Cristine, 2017. "Placebo Tests for Synthetic Controls," MPRA Paper 78079, University Library of Munich, Germany.
    13. Cawley, John, 2015. "An economy of scales: A selective review of obesity's economic causes, consequences, and solutions," Journal of Health Economics, Elsevier, vol. 43(C), pages 244-268.
    14. Bryan Bollinger & Phillip Leslie & Alan Sorensen, 2011. "Calorie Posting in Chain Restaurants," American Economic Journal: Economic Policy, American Economic Association, vol. 3(1), pages 91-128, February.
    15. Jessica Wisdom & Julie S. Downs & George Loewenstein, 2010. "Promoting Healthy Choices: Information versus Convenience," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 164-178, April.
    16. Shimshack, Jay P. & Ward, Michael B., 2010. "Mercury advisories and household health trade-offs," Journal of Health Economics, Elsevier, vol. 29(5), pages 674-685, September.
    17. Scot Burton & Andrea H. Tangari & Elizabeth Howlett & Anna M. Turri, 2014. "How the Perceived Healthfulness of Restaurant Menu Items Influences Sodium and Calorie Misperceptions: Implications for Nutrition Disclosures in Chain Restaurants," Journal of Consumer Affairs, Wiley Blackwell, vol. 48(1), pages 62-95, March.
    18. Gary Charness & Uri Gneezy, 2009. "Incentives to Exercise," Econometrica, Econometric Society, vol. 77(3), pages 909-931, May.
    19. Roberto, C.A. & Larsen, P.D. & Agnew, H. & Baik, J. & Brownell, K.D., 2010. "Evaluating the impact of menu labeling on food choices and intake," American Journal of Public Health, American Public Health Association, vol. 100(2), pages 312-318.
    20. Partha Deb & Carmen Vargas, 2016. "Who Benefits from Calorie Labeling? An Analysis of its Effects on Body Mass," NBER Working Papers 21992, National Bureau of Economic Research, Inc.
    21. James G. MacKinnon & Matthew D. Webb, 2019. "Wild Bootstrap Randomization Inference for Few Treated Clusters," Advances in Econometrics, in: The Econometrics of Complex Survey Data, volume 39, pages 61-85, Emerald Group Publishing Limited.
    22. Darius Lakdawalla & Tomas Philipson & Jay Bhattacharya, 2005. "Welfare-Enhancing Technological Change and the Growth of Obesity," American Economic Review, American Economic Association, vol. 95(2), pages 253-257, May.
    23. W. Kip Viscusi & Wesley A. Magat & Joel Huber, 1986. "Informational Regulation of Consumer Health Risks: An Empirical Evaluation of Hazard Warnings," RAND Journal of Economics, The RAND Corporation, vol. 17(3), pages 351-365, Autumn.
    24. Abadie, Alberto & Diamond, Alexis & Hainmueller, Jens, 2010. "Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program," Journal of the American Statistical Association, American Statistical Association, vol. 105(490), pages 493-505.
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