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Who Benefits from Calorie Labeling? An Analysis of its Effects on Body Mass

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  • Partha Deb
  • Carmen Vargas

Abstract

This study uses county-level variation in implementation of calorie labeling laws in the US to identify the effects of such laws on body mass. Using the 2003 to 2012 waves of the Behavioral Risk Factor Surveillance System, we find a statistically insignificant average treatment effect for women and a small, statistically significant and negative average treatment effect for men, indicating a decrease in BMI after implementation of calorie-labeling laws. We estimate finite mixture models and discover that the average treatment effects mask substantial heterogeneity in the effects across three classes of women and men. For both women and men, the three classes, determined within the model, can be described as a subpopulation with normal weight, a second one that is overweight on average and a third one that is obese on average. Estimates from finite mixture models show that the effect is largely concentrated among a class of women with BMI distributions centered on overweight. The effects for men are statistically significant for each of the three classes and large for men in the overweight and obese classes. These results suggest that overweight and obese individuals are especially sensitive to relevant information.

Suggested Citation

  • 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.
    • Handle: RePEc:nbr:nberwo:21992
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    1. Heckman, James & Singer, Burton, 1984. "A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data," Econometrica, Econometric Society, vol. 52(2), pages 271-320, March.
    2. Steven B. Caudill & Daniel M. Gropper & Valentina Hartarska, 2009. "Which Microfinance Institutions Are Becoming More Cost Effective with Time? Evidence from a Mixture Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(4), pages 651-672, June.
    3. Jeffrey M. Wooldridge, 2005. "Simple solutions to the initial conditions problem in dynamic, nonlinear panel data models with unobserved heterogeneity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(1), pages 39-54, January.
    4. 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.
    5. 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.
    6. 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.
    7. David M. Cutler & Edward L. Glaeser & Jesse M. Shapiro, 2003. "Why Have Americans Become More Obese?," Journal of Economic Perspectives, American Economic Association, vol. 17(3), pages 93-118, Summer.
    8. Christian, Thomas & Rashad, Inas, 2009. "Trends in U.S. food prices, 1950-2007," Economics & Human Biology, Elsevier, vol. 7(1), pages 113-120, March.
    9. Günther, Isabel & Launov, Andrey, 2012. "Informal employment in developing countries," Journal of Development Economics, Elsevier, vol. 97(1), pages 88-98.
    10. Susan Athey & Guido W. Imbens, 2006. "Identification and Inference in Nonlinear Difference-in-Differences Models," Econometrica, Econometric Society, vol. 74(2), pages 431-497, March.
    11. 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.
    12. Deb, Partha & Gallo, William T. & Ayyagari, Padmaja & Fletcher, Jason M. & Sindelar, Jody L., 2011. "The effect of job loss on overweight and drinking," Journal of Health Economics, Elsevier, vol. 30(2), pages 317-327, March.
    13. Abadie, Alberto & Imbens, Guido W., 2011. "Bias-Corrected Matching Estimators for Average Treatment Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 1-11.
    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. John Cawley, 2004. "The Impact of Obesity on Wages," Journal of Human Resources, University of Wisconsin Press, vol. 39(2).
    17. Padmaja Ayyagari & Partha Deb & Jason Fletcher & William Gallo & Jody L. Sindelar, 2013. "Understanding Heterogeneity In Price Elasticities In The Demand For Alcohol For Older Individuals," Health Economics, John Wiley & Sons, Ltd., vol. 22(1), pages 89-105, January.
    18. Deb, Partha & Trivedi, Pravin K, 1997. "Demand for Medical Care by the Elderly: A Finite Mixture Approach," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 12(3), pages 313-336, May-June.
    19. Lin, Biing-Hwan & Guthrie, Joanne F., 2012. "Nutritional Quality of Food Prepared at Home and Away From Home, 1977-2008," Economic Information Bulletin 142361, United States Department of Agriculture, Economic Research Service.
    20. Adrian Bruhin & Helga Fehr-Duda & Thomas Epper, 2010. "Risk and Rationality: Uncovering Heterogeneity in Probability Distortion," Econometrica, Econometric Society, vol. 78(4), pages 1375-1412, July.
    21. 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.
    22. Burkhauser, Richard V. & Cawley, John, 2008. "Beyond BMI: The value of more accurate measures of fatness and obesity in social science research," Journal of Health Economics, Elsevier, vol. 27(2), pages 519-529, March.
    23. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2012. "Causal Inference without Balance Checking: Coarsened Exact Matching," Political Analysis, Cambridge University Press, vol. 20(1), pages 1-24, January.
    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.
    25. Ho, Daniel E. & Imai, Kosuke & King, Gary & Stuart, Elizabeth A., 2007. "Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference," Political Analysis, Cambridge University Press, vol. 15(3), pages 199-236, July.
    26. Bassett, M.T. & Dumanovsky, T. & Huang, C. & Silver, L.D. & Young, C. & Nonas, C. & Matte, T.D. & Chideya, S. & Frieden, T.R., 2008. "Purchasing behavior and calorie information at fast-food chains in New York City, 2007," American Journal of Public Health, American Public Health Association, vol. 98(8), pages 1457-1459.
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    3. Jessica E. Todd & Lisa Mancino & Brandon J. Restrepo & Claudine Kavanaugh & Chris Dicken & Vince Breneman, 2021. "Food Away From Home And Caloric Intake: The Role Of Restaurant Menu Labeling Laws," Economic Inquiry, Western Economic Association International, vol. 59(1), pages 53-71, January.
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    6. 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.
    7. Kee, Jennifer & Segovia, Michelle S. & Saboury, Piruz & Palma, Marco A., 2022. "Appealing to generosity to reduce food calorie intake: A natural field experiment," Food Policy, Elsevier, vol. 110(C).
    8. Mohamed Shabani Kariburyo & Lauri Andress & Alan Collins & Paul Kinder, 2020. "Place Effects and Chronic Disease Rates in a Rural State: Evidence from a Triangulation of Methods," IJERPH, MDPI, vol. 17(18), pages 1-19, September.
    9. J. M. Bauer & L. A. Reisch, 2019. "Behavioural Insights and (Un)healthy Dietary Choices: a Review of Current Evidence," Journal of Consumer Policy, Springer, vol. 42(1), pages 3-45, March.
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    11. Zeballos, Eliana & Anekwe, Tobenna D., 2018. "The Association Between Nutrition Information Use and the Healthfulness of Food Acquisitions," Economic Research Report 276241, United States Department of Agriculture, Economic Research Service.

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    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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