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Children’s Consumption of Fruits and Vegetables: Do School Environment and Policies Affect Choice in School Meals?

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  • Ishdorj, Ariun
  • Crepinsek, Mary Kay
  • Jensen, Helen H.

Abstract

Considering most children spend a majority of their weekdays at school and, on average, obtain more than one-third of their daily caloric intake from meals consumed at school during the school year, school is a natural place to implement nutrition policies that would help develop healthy eating habits and improve health and well-being of children. At the same time, local school meal policies may influence what foods are offered and how the foods are prepared. In this regard, the U.S. Department of Agriculture’s (USDA) two school meal programs can play an important role in children’s diets and food habit formation and thus positively influence children’s health. The focus of our research is children’s intakes of fruits and vegetables by location of consumption. We include intake of the fruits and vegetables at school and at home and evaluate whether the school meal intake substitutes or supplements intake at home. We use data from the third School Nutrition Dietary Assessment Study (SNDA-III), and estimate jointly the student’s latent consumption of target foods (fruits and vegetables) by location of consumption and the student’s endogenous decision to participate in the school meal program. We find demographic effects influence consumption, and although school food policies examined had little effect on participation in the school meal program, some school policies do affect fruits and vegetables consumption. There is evidence that increased exposure to fruits and vegetables in school will positively affect home consumption.

Suggested Citation

  • 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.
  • Handle: RePEc:ags:aaeafe:123534
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    References listed on IDEAS

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    1. 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).
    2. Gundersen, Craig & Kreider, Brent & Pepper, John, 2012. "The impact of the National School Lunch Program on child health: A nonparametric bounds analysis," Journal of Econometrics, Elsevier, vol. 166(1), pages 79-91.
    3. Poirier, Dale J & Tobias, Justin L, 2003. "On the Predictive Distributions of Outcome Gains in the Presence of an Unidentified Parameter," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(2), pages 258-268, April.
    4. 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).
    5. 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.
    6. Diane Whitmore Schanzenbach, 2009. "Do School Lunches Contribute to Childhood Obesity?," Journal of Human Resources, University of Wisconsin Press, vol. 44(3).
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    8. repec:aph:ajpbhl:2003:93:7:1168-1173_5 is not listed on IDEAS
    9. Ishdorj, Ariun & Jensen, Helen H. & Tobias, Justin, 2007. "Intra-Household Allocation and Consumption of WIC-Approved Foods: A Bayesian Approach," Staff General Research Papers Archive 12833, Iowa State University, Department of Economics.
    10. Chib, Siddhartha, 2007. "Analysis of treatment response data without the joint distribution of potential outcomes," Journal of Econometrics, Elsevier, vol. 140(2), pages 401-412, October.
    11. Chib, Siddhartha & Hamilton, Barton H., 2002. "Semiparametric Bayes analysis of longitudinal data treatment models," Journal of Econometrics, Elsevier, vol. 110(1), pages 67-89, September.
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    More about this item

    Keywords

    Food Assistance; Fruits and Vegetables; School Meals; Endogeneity; Censoring; Food Consumption/Nutrition/Food Safety; C11; C34; C36;

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
    • C36 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Instrumental Variables (IV) Estimation

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