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

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  • 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.

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Bibliographic Info

Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 13148.

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Date of creation: 15 Dec 2009
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Handle: RePEc:isu:genres:13148

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Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
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Web page: http://www.econ.iastate.edu
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Keywords: partial identification; classification error; food insecurity; obesity; selection problem; monotone instrumental variable; regression discontinuity; National School Lunch Program;

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References

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  1. Anne Case & Darren Lubotsky & Christina Paxson, 2002. "Economic status and health in childhood: the origins of the gradient," Working Papers 262, Princeton University, Woodrow Wilson School of Public and International Affairs, Center for Health and Wellbeing..
  2. 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.
  3. Horowitz, J.L. & Manski, C.F., 1995. "Censoring of Outcomes and Regressors Due to Survey Nonresponse: Identification and estimation Using Weights and Imputations," Working Papers 95-12, University of Iowa, Department of Economics.
  4. 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.
  5. 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.
  6. Molinari, Francesca, 2005. "Missing Treatments," Working Papers 05-11, Cornell University, Center for Analytic Economics.
  7. Kreider, Brent, 2007. "Regression Coefficient Identification Decay in the Presence of Infrequent Classification Errors," Staff General Research Papers 12822, Iowa State University, Department of Economics.
  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. Bollinger, Christopher R., 1996. "Bounding mean regressions when a binary regressor is mismeasured," Journal of Econometrics, Elsevier, vol. 73(2), pages 387-399, August.
  10. Guido W. Imbens & Charles F. Manski, 2004. "Confidence Intervals for Partially Identified Parameters," Econometrica, Econometric Society, vol. 72(6), pages 1845-1857, November.
  11. 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.
  12. 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.
  13. 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.
  14. Daniel Millimet & Rusty Tchernis & Muna Hussain, 2007. "School Nutrition Programs and the Incidence of Childhood Obesity," Caepr Working Papers 2007-014, Center for Applied Economics and Policy Research, Economics Department, Indiana University Bloomington.
  15. Millimet, Daniel L., 2010. "The Elephant in the Corner: A Cautionary Tale about Measurement Error in Treatment Effects Models," IZA Discussion Papers 5140, Institute for the Study of Labor (IZA).
  16. 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.
  17. 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).
  18. 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.
  19. repec:att:wimass:9604 is not listed on IDEAS
  20. 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.
  21. 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.
  22. 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.
  23. 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.
  24. 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.
  25. Charles F. Manski, 1997. "Monotone Treatment Response," Econometrica, Econometric Society, vol. 65(6), pages 1311-1334, November.
  26. Molinari, Francesca, 2005. "Partial Identification of Probability Distributions with Misclassified Data," Working Papers 05-10, Cornell University, Center for Analytic Economics.
  27. 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.
  28. 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.
  29. Janet Currie, 2003. "U.S. Food and Nutrition Programs," NBER Chapters, in: Means-Tested Transfer Programs in the United States, pages 199-290 National Bureau of Economic Research, Inc.
  30. Charles F. Manski & John V. Pepper, 2009. "More on monotone instrumental variables," Econometrics Journal, Royal Economic Society, vol. 12(s1), pages S200-S216, 01.
  31. 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.
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Citations

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Cited by:
  1. Capogrossi, Kristen & You, Wen, 2013. "National School Lunch Program Menus: A Moral Hazard Problem," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149701, Agricultural and Applied Economics Association.
  2. Okumura, Tsunao & Usui, Emiko, 2010. "Concave-Monotone Treatment Response and Monotone Treatment Selection: With an Application to the Returns to Schooling," IZA Discussion Papers 4986, Institute for the Study of Labor (IZA).
  3. Peckham, Janet G. & Kropp, Jaclyn D. & Mroz, Thomas A. & Haley-Zitlin, Vivian & Granberg, Ellen M. & Hawthorne, Nikki, 2013. "Do School Lunch Menus Influence National School Lunch Program Participation?," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150398, Agricultural and Applied Economics Association.
  4. Manan Roy, 2012. "Identifying the Effect of WIC on Infant Health When Participation is Endogenous and Misreported," Departmental Working Papers 1202, Southern Methodist University, Department of Economics.
  5. Grafova, Irina B. & Freedman, Vicki A. & Lurie, Nicole & Kumar, Rizie & Rogowski, Jeannette, 2014. "The difference-in-difference method: Assessing the selection bias in the effects of neighborhood environment on health," Economics & Human Biology, Elsevier, vol. 13(C), pages 20-33.
  6. Ishdorj, Ariun & Crepinsek, Mary Kay & Jensen, Helen H., 2012. "Children’s Consumption of Fruits and Vegetables: Do School Environment and Policies Affect Choice in School Meals?," 2012 AAEA/EAAE Food Environment Symposium, May 30-31, Boston, MA 123534, Agricultural and Applied Economics Association.
  7. Charles F. Manski & John V. Pepper, 2011. "Deterrence and the Death Penalty: Partial Identification Analysis Using Repeated Cross Sections," NBER Working Papers 17455, National Bureau of Economic Research, Inc.
  8. Kaspar Wüthrich, 2013. "Set Identification of Generalized Linear Predictors in the Presence of Non-Classical Measurement Errors," Diskussionsschriften dp1304, Universitaet Bern, Departement Volkswirtschaft.
  9. Gao, Xiang & Ishdorj, Ariun & Higgins, Lindsey M., 2012. "Impact of the National School Lunch Program on Children’s Food Security," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119778, Southern Agricultural Economics Association.
  10. Wooyoung Kim & Koohyun Kwon & Soonwoo Kwon & Sokbae 'Simon' Lee, 2014. "The identification power of smoothness assumptions in models with counterfactual outcomes," CeMMAP working papers CWP17/14, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  11. Stefanie Hof, 2014. "Does Private Tutoring Work? The Effectiveness of Private Tutoring: A Nonparametric Bounds Analysis," Economics of Education Working Paper Series 0096, University of Zurich, Institute for Strategy and Business Economics (ISU).
  12. Lafférs, Lukáš, 2013. "A note on bounding average treatment effects," Economics Letters, Elsevier, vol. 120(3), pages 424-428.
  13. Ian M. McCarthy & Daniel L. Millimet & Manan Roy, 2014. "Bounding Treatment Effects: Stata Command for the Partial Identification of the Average Treatment Effect with Endogenous and Misreported Treatment Assignment," Emory Economics 1407, Department of Economics, Emory University (Atlanta).
  14. Burgstahler, Rebecca & Gundersen, Craig & Garasky, Steven B., 2012. "The Supplemental Nutrition Assistance Program, Financial Stress, and Childhood Obesity," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 41(1), April.
  15. Peckham, Janet G. & Kropp, Jaclyn D., 2012. "Are National School Lunch Program Participants More Likely to be Obese? Dealing with Identification," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124905, Agricultural and Applied Economics Association.

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