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The Effect of the Fresh Fruit and Vegetable Program on Childhood Obesity

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Listed:
  • Qian, Yiwei
  • Nayga, Rodolfo M. Jr.
  • Thomsen, Michael R.
  • Rouse, Heather

Abstract

This paper investigates how the Fresh Fruits and Vegetable Program (FFVP), a national program which provides funding for the distribution of free fresh fruits and vegetables to students in participating schools, affects childhood obesity. Using a panel data set, we combine matching methodology and difference-in-differences analysis to estimate the effect of the FFVP on childhood obesity outcomes. The results suggest that estimates of the FFVP effect are very sensitive to use of different matching methods. With the use of a stricter matching method, the estimate of the FFVP effect is negative and significant, indicating that the program reduces children’s body mass index. Less strict matching methods yield opposite results.

Suggested Citation

  • Qian, Yiwei & Nayga, Rodolfo M. Jr. & Thomsen, Michael R. & Rouse, Heather, 2013. "The Effect of the Fresh Fruit and Vegetable Program on Childhood Obesity," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150778, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea13:150778
    DOI: 10.22004/ag.econ.150778
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    References listed on IDEAS

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    1. Asadul Islam, 2011. "Medium- and Long-Term Participation in Microcredit: An Evaluation Using a New Panel Dataset from Bangladesh," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(3), pages 843-862.
    2. Iacus, Stefano M. & King, Gary & Porro, Giuseppe, 2011. "Multivariate Matching Methods That Are Monotonic Imbalance Bounding," Journal of the American Statistical Association, American Statistical Association, vol. 106(493), pages 345-361.
    3. James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 64(4), pages 605-654.
    4. Anderson, Patricia M. & Butcher, Kristin F. & Levine, Phillip B., 2003. "Maternal employment and overweight children," Journal of Health Economics, Elsevier, vol. 22(3), pages 477-504, May.
    5. Rodolfo Nayga, 2000. "Schooling, health knowledge and obesity," Applied Economics, Taylor & Francis Journals, vol. 32(7), pages 815-822.
    6. Benjamin L. Campbell & Rodolfo M. Nayga & John L. Park & Andres Silva, 2011. "Does the National School Lunch Program Improve Children's Dietary Outcomes?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(4), pages 1099-1130.
    7. 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.
    8. Matthew Blackwell & Stefano Iacus & Gary King & Giuseppe Porro, 2009. "cem: Coarsened exact matching in Stata," Stata Journal, StataCorp LP, vol. 9(4), pages 524-546, December.
    9. Iacus, Stefano & King, Gary & Porro, Giuseppe, 2009. "cem: Software for Coarsened Exact Matching," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 30(i09).
    10. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
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    1. repec:oup:apecpp:v:40:y:2018:i:3:p:482-501. is not listed on IDEAS
    2. Frimpong, Eugene & Petrolia, Daniel & Harri, Ardian, 2018. "Does the Community Rating System Work? Evidence from Two Gulf Coast States," Working Papers 273014, Mississippi State University, Department of Agricultural Economics.

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