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The Impact of the National School Lunch Program on Child Health: A Nonparametric Bounds Analysis

Author

Listed:
  • Gundersen, Craig
  • Kreider, Brent
  • Pepper, John V.

Abstract

Children in households reporting the receipt of free or reduced price school meals through the National School Lunch Program (NSLP) are more likely to have negative health outcomes than eligible nonparticipants. Assessing the causal effects of the program is made difficult, however, by the presence of endogenous selection into the program and systematic misreporting of participation status. Using data from the National Health and Nutrition Examination Survey (NHANES), we extend and apply partial identification methods to account for these two identification problems in a single unifying framework. Similar to a regression discontinuity design, we introduce a new way to conceptualize the monotone instrumental variable (MIV) assumption using eligibility criteria as monotone instruments. Under relatively weak assumptions, we find evidence that receipt of free and reduced price lunches through the NSLP improves the health outcomes of children.

Suggested Citation

  • Gundersen, Craig & Kreider, Brent & Pepper, John V., 2009. "The Impact of the National School Lunch Program on Child Health: A Nonparametric Bounds Analysis," Staff General Research Papers Archive 13148, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genres:13148
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    References listed on IDEAS

    as
    1. Brent Kreider, 2010. "Regression Coefficient Identification Decay in The Presence of Infrequent Classification Errors," The Review of Economics and Statistics, MIT Press, vol. 92(4), pages 1017-1023, November.
    2. Gundersen, Craig & Kreider, Brent, 2009. "Bounding the effects of food insecurity on children's health outcomes," Journal of Health Economics, Elsevier, vol. 28(5), pages 971-983, September.
    3. Charles F. Manski, 1997. "Monotone Treatment Response," Econometrica, Econometric Society, vol. 65(6), pages 1311-1334, November.
    4. Richard A. DePolt & Robert A. Moffitt & David C. Ribar, 2009. "Food Stamps, Temporary Assistance For Needy Families And Food Hardships In Three American Cities," Pacific Economic Review, Wiley Blackwell, vol. 14(4), pages 445-473, October.
    5. Kreider, Brent & Pepper, John V., 2011. "Identification of Expected Outcomes in a Data Error Mixing Model With Multiplicative Mean Independence," Journal of Business & Economic Statistics, American Statistical Association, vol. 29(1), pages 49-60.
    6. Coleman-Jensen, Alisha & Nord, Mark & Andrews, Margaret S. & Carlson, Steven, 2011. "Household Food Security in the United States in 2010," Economic Research Report 118021, United States Department of Agriculture, Economic Research Service.
    7. 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).
    8. Craig Gundersen & Brent Kreider, 2008. "Food Stamps and Food Insecurity: What Can Be Learned in the Presence of Nonclassical Measurement Error?," Journal of Human Resources, University of Wisconsin Press, vol. 43(2), pages 352-382.
    9. repec:pri:cheawb:case_paxson_economic_status_paper is not listed on IDEAS
    10. Kreider, Brent & Pepper, John V., 2007. "Disability and Employment: Reevaluating the Evidence in Light of Reporting Errors," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 432-441, June.
    11. Guido W. Imbens & Charles F. Manski, 2004. "Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 72(6), pages 1845-1857, November.
    12. Craig Gundersen & Victor Oliveira, 2001. "The Food Stamp Program and Food Insufficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(4), pages 875-887.
    13. 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).
    14. Horowitz, Joel L & Manski, Charles F, 1995. "Identification and Robustness with Contaminated and Corrupted Data," Econometrica, Econometric Society, vol. 63(2), pages 281-302, March.
    15. repec:pri:cheawb:case_paxson_economic_status_paper.pdf is not listed on IDEAS
    16. Nord, Mark & Coleman-Jensen, Alisha & Andrews, Margaret & Carlson, Steven, 2010. "Household Food Security in the United States, 2009," Economic Research Report 262246, United States Department of Agriculture, Economic Research Service.
    17. Horowitz, Joel L. & Manski, Charles F., 1998. "Censoring of outcomes and regressors due to survey nonresponse: Identification and estimation using weights and imputations," Journal of Econometrics, Elsevier, vol. 84(1), pages 37-58, May.
    18. Beth Osborne Daponte & Seth Sanders & Lowell Taylor, 1999. "Why Do Low-Income Households not Use Food Stamps? Evidence from an Experiment," Journal of Human Resources, University of Wisconsin Press, vol. 34(3), pages 612-628.
    19. Nord, Mark & Andrews, Margaret S. & Carlson, Steven, 2002. "Household Food Security In The United States, 2001," Food Assistance and Nutrition Research Reports 33865, United States Department of Agriculture, Economic Research Service.
    20. Bollinger, Christopher R., 1996. "Bounding mean regressions when a binary regressor is mismeasured," Journal of Econometrics, Elsevier, vol. 73(2), pages 387-399, August.
    21. 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.
    22. Brent Kreider & Steven C. Hill, 2009. "Partially Identifying Treatment Effects with an Application to Covering the Uninsured," Journal of Human Resources, University of Wisconsin Press, vol. 44(2).
    23. Bruce D. Meyer & Wallace K. C. Mok & James X. Sullivan, 2009. "The Under-Reporting of Transfers in Household Surveys: Its Nature and Consequences," NBER Working Papers 15181, National Bureau of Economic Research, Inc.
    24. Charles F. Manski & John V. Pepper, 2009. "More on monotone instrumental variables," Econometrics Journal, Royal Economic Society, vol. 12(s1), pages 200-216, January.
    25. Robert A. Moffitt, 2003. "Means-Tested Transfer Programs in the United States," NBER Books, National Bureau of Economic Research, Inc, number moff03-1.
    26. John V. Pepper, 2000. "The Intergenerational Transmission Of Welfare Receipt: A Nonparametric Bounds Analysis," The Review of Economics and Statistics, MIT Press, vol. 82(3), pages 472-488, August.
    27. 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.
    28. Molinari, Francesca, 2008. "Partial identification of probability distributions with misclassified data," Journal of Econometrics, Elsevier, vol. 144(1), pages 81-117, May.
    29. Anne Case & Darren Lubotsky & Christina Paxson, 2002. "Economic Status and Health in Childhood: The Origins of the Gradient," American Economic Review, American Economic Association, vol. 92(5), pages 1308-1334, December.
    30. Molinari, Francesca, 2010. "Missing Treatments," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(1), pages 82-95.
    31. Sharon K. Long, 1991. "Do the School Nutrition Programs Supplement Household Food Expenditures?," Journal of Human Resources, University of Wisconsin Press, vol. 26(4), pages 654-678.
    32. Donna K. Ginther, 2000. "Alternative Estimates of the Effect of Schooling on Earnings," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 103-116, February.
    33. Janet Currie, 2003. "US Food and Nutrition Programs," NBER Chapters, in: Means-Tested Transfer Programs in the United States, pages 199-290, National Bureau of Economic Research, Inc.
    34. Millimet, Daniel L., 2010. "The Elephant in the Corner: A Cautionary Tale about Measurement Error in Treatment Effects Models," IZA Discussion Papers 5140, Institute of Labor Economics (IZA).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    partial identification; classification error; food insecurity; obesity; selection problem; monotone instrumental variable; regression discontinuity; National School Lunch Program;
    All these keywords.

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General

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