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"Billions and Billions Served" Heterogeneous Effects of Food Source on Child Dietary Quality

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  • Smith, Travis A.

Abstract

This paper estimates heterogeneous effects of food source (food away from home, at home and from school) on child dietary quality. Using a quantile estimator designed for panel data, two non-consecutive days of intake are used to identify the effiect of food source across the unconditional distribution of dietary quality. Main results suggest that food away from home has a negative impact on dietary quality for all children except those falling in the very lowest portion of the unconditional distribution. As compared to home-prepared food, school food is found to increase dietary quality for children falling in the bottom quartile of the distribution. For children with a very high underlying proneness to consume a healthful diet, food from school has a negative effect. While food consumed under the National School Lunch and Breakfast Programs may not benefit every child (especially at the mean), it does improve the diets of many children whom otherwise would have poorer dietary quality. The implication is that U.S. schools are fertile grounds to improve nutrition skill formation, especially for the most disadvantaged.

Suggested Citation

  • Smith, Travis A., 2013. ""Billions and Billions Served" Heterogeneous Effects of Food Source on Child Dietary Quality," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 151212, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea13:151212
    DOI: 10.22004/ag.econ.151212
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    References listed on IDEAS

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    1. James J. Heckman & Dimitriy V. Masterov, 2007. "The Productivity Argument for Investing in Young Children ," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 29(3), pages 446-493.
    2. 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.
    3. Galvao Jr., Antonio F., 2011. "Quantile regression for dynamic panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 164(1), pages 142-157, September.
    4. Daniel L. Millimet & Rusty Tchernis & Muna Husain, 2010. "School Nutrition Programs and the Incidence of Childhood Obesity," Journal of Human Resources, University of Wisconsin Press, vol. 45(3).
    5. Daniel McFadden, 2008. "Human Capital Accumulation and Depreciation," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 30(3), pages 379-385.
    6. Harding, Matthew & Lamarche, Carlos, 2009. "A quantile regression approach for estimating panel data models using instrumental variables," Economics Letters, Elsevier, vol. 104(3), pages 133-135, September.
    7. Bhattacharya, Debopam, 2005. "Asymptotic inference from multi-stage samples," Journal of Econometrics, Elsevier, vol. 126(1), pages 145-171, May.
    8. Jayanta Bhattacharya & Janet Currie & Steven J. Haider, 2006. "Breakfast of Champions?: The School Breakfast Program and the Nutrition of Children and Families," Journal of Human Resources, University of Wisconsin Press, vol. 41(3).
    9. Diane Whitmore Schanzenbach, 2009. "Do School Lunches Contribute to Childhood Obesity?," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
    10. Peter Hinrichs, 2010. "The effects of the National School Lunch Program on education and health," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 29(3), pages 479-505.
    11. Philip M. Gleason & Carol W. Suitor, 2003. "Eating at School: How the National School Lunch Program Affects Children's Diets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(4), pages 1047-1061.
    12. repec:ran:wpaper:710-1 is not listed on IDEAS
    13. Charles F. Manski & John V. Pepper, 2000. "Monotone Instrumental Variables, with an Application to the Returns to Schooling," Econometrica, Econometric Society, vol. 68(4), pages 997-1012, July.
    14. Ivan A. Canay, 2011. "A simple approach to quantile regression for panel data," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 368-386, October.
    15. Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
    16. Ralston, Katherine L. & Newman, Constance & Clauson, Annette L. & Guthrie, Joanne F. & Buzby, Jean C., 2008. "The National School Lunch Program: Background, Trends, and Issues," Economic Research Report 56464, United States Department of Agriculture, Economic Research Service.
    17. Powell, David, 2013. "A New Framework for Estimation of Quantile Treatment Effects: Nonseparable Disturbance in the Presence of Covariates," Working Papers 824-1, RAND Corporation.
    18. Chernozhukov, Victor & Hansen, Christian, 2008. "Instrumental variable quantile regression: A robust inference approach," Journal of Econometrics, Elsevier, vol. 142(1), pages 379-398, January.
    19. Mancino, Lisa & Todd, Jessica E. & Guthrie, Joanne F. & Lin, Biing-Hwan, 2010. "How Food Away From Home Affects Children's Diet Quality," Economic Research Report 134700, United States Department of Agriculture, Economic Research Service.
    20. Beatty, Timothy K.M. & Lin, Biing-Hwan & Smith, Travis A., 2012. "Distributional Changes in U.S. Dietary Quality 1989-2008," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124945, Agricultural and Applied Economics Association.
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    Keywords

    Consumer/Household Economics; Food Consumption/Nutrition/Food Safety; Public Economics;
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