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U.S. Household Consumption Of Fresh Fruits

Author

Listed:
  • He, Hua
  • Huang, Chung L.
  • Houston, Jack E.

Abstract

This study uses the 1987-88 U.S. Department of Agriculture Nationwide Food Consumption Survey data to analyze the impacts of income, prices, and selected socioeconomic characteristics on household consumption of fresh fruits. Results suggest that fresh fruits are considered economic necessities, with own prices significantly influencing consumption. Cross-price effects are generally weak and insignificant, but the number of adults in the age group 18-64 is an important determinant of household consumption of fresh fruits. While nutrition information and household savings have significant, positive influences on most fresh fruit consumption, the presence of a working wife has a significant and negative influence.

Suggested Citation

  • He, Hua & Huang, Chung L. & Houston, Jack E., 1995. "U.S. Household Consumption Of Fresh Fruits," Journal of Food Distribution Research, Food Distribution Research Society, vol. 26(2), pages 1-11, September.
  • Handle: RePEc:ags:jlofdr:27225
    DOI: 10.22004/ag.econ.27225
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    References listed on IDEAS

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    1. James Heckman, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    2. Amemiya, Takeshi, 1973. "Regression Analysis when the Dependent Variable is Truncated Normal," Econometrica, Econometric Society, vol. 41(6), pages 997-1016, November.
    3. Larry Salathe, 1979. "The Effects of Changes in Population Characteristics on U.S. Consumption of Selected Foods," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(5), pages 1036-1045.
    4. Ferber, Robert, 1973. "Consumer Economics, A Survey," Journal of Economic Literature, American Economic Association, vol. 11(4), pages 1303-1342, December.
    5. Thomas L. Cox & Michael K. Wohlgenant, 1986. "Prices and Quality Effects in Cross-Sectional Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 68(4), pages 908-919.
    6. George, P.S. & King, Gordon A., 1971. "Consumer Demand for Food Commodities in the United States with Projections for 1980," Monographs, University of California, Davis, Giannini Foundation, number 11936.
    7. Paarsch, Harry J., 1984. "A Monte Carlo comparison of estimators for censored regression models," Journal of Econometrics, Elsevier, vol. 24(1-2), pages 197-213.
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    Cited by:

    1. Madhavan-Nambiar, Padmanand & Florkowski, Wojciech & Chinnan, Manjeet & Ressurrecion, Anna, 2014. "Factors Driving Fruit and Vegetable Expenditures and Consumption Frequency in Lesser Developed Country: an Analysis of Urban Households from the Republic of Uganda," 2014 Annual Meeting, February 1-4, 2014, Dallas, Texas 162414, Southern Agricultural Economics Association.
    2. Catherine Durham & James Eales, 2010. "Demand elasticities for fresh fruit at the retail level," Applied Economics, Taylor & Francis Journals, vol. 42(11), pages 1345-1354.

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