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

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  • Yiwei Qian
  • Rodolfo M. Nayga
  • Michael R. Thomsen
  • Heather L. Rouse

Abstract

This paper investigates how the Fresh Fruit and Vegetable Program (FFVP), a nutrition assistance program that provides funding for the distribution of free fresh fruits and vegetables to students in participating schools, affects childhood obesity using a panel data set of Arkansas public schoolchildren with two different approaches. First, we combine matching methodology and difference-in-differences (DID) analysis. Second, we use the synthetic control method to compare each FFVP participating school to a similar, albeit synthetic, control school. Both analyses show that FFVP program causes an economically meaningful reduction in the obesity outcome of participating children.

Suggested Citation

  • Yiwei Qian & Rodolfo M. Nayga & Michael R. Thomsen & Heather L. Rouse, 2016. "The Effect of the Fresh Fruit and Vegetable Program on Childhood Obesity," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 38(2), pages 260-275.
    • Handle: RePEc:oup:apecpp:v:38:y:2016:i:2:p:260-275.
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    File URL: http://hdl.handle.net/10.1093/aepp/ppv017
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    1. 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.
    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.
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    6. 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.
    7. 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).
    8. Rodolfo Nayga, 2000. "Schooling, health knowledge and obesity," Applied Economics, Taylor & Francis Journals, vol. 32(7), pages 815-822.
    9. 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.
    10. 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.
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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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