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A Tobit Analysis of WIC Children's Consumption of Pyramid Group Foods

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  • Chandran, Ram

Abstract

This paper develops and estimates an econometric model for children's consumption of the Pyramid Group foods using the Continuing Survey of Food Intake by Individuals (CSFII) for the years 1994-96, 1998. This analysis is accomplished using a Tobit model (censored dependent variable) and by appropriately incorporating the survey design characteristics. Results of the regression analysis indicate that participation in the WIC program significantly affects the consumption patterns of children, for certain types of Pyramid Group foods. After controlling for other factors, WIC children consumed more milk, fruit and whole grain and less of added sugar than the group of eligible nonparticipating children.

Suggested Citation

  • Chandran, Ram, 2004. "A Tobit Analysis of WIC Children's Consumption of Pyramid Group Foods," 2004 Annual meeting, August 1-4, Denver, CO 19998, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea04:19998
    DOI: 10.22004/ag.econ.19998
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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Melenberg, Bertrand & van Soest, Arthur, 1996. "Parametric and Semi-parametric Modelling of Vacation Expenditures," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(1), pages 59-76, Jan.-Feb..
    3. Fair, Ray C, 1977. "A Note on the Computation of the Tobit Estimator," Econometrica, Econometric Society, vol. 45(7), pages 1723-1727, October.
    4. Fair, Ray C, 1978. "A Theory of Extramarital Affairs," Journal of Political Economy, University of Chicago Press, vol. 86(1), pages 45-61, February.
    5. Jarque, Carlos M., 1987. "An application of LDV models to household expenditure analysis in Mexico," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 31-53.
    6. William J Carrington & John L Eltinge & Kristin McCue, 2000. "An Economist's Primer on Survey Samples," Working Papers 00-15, Center for Economic Studies, U.S. Census Bureau.
    7. Ann Dryden Witte, 1980. "Estimating the Economic Model of Crime With Individual Data," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 94(1), pages 57-84.
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