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Household Snack-Food Purchases: Does Nutrition Matter?

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  • Rimal, Arbindra
  • Fletcher, Stanley M.

Abstract

Purchase patterns for two types of snack foods--pretzels and popcorn, and potato, corn, and tortilla chips--were analyzed using the data from a national survey. The study examined the effect of socio-economic and lifestyle factors including nutritional awareness and exercise habits of household respondents on snack-food purchase. A geometric-hurdle count-data model that distinguished between market-participation and purchase-frequency decisions revealed that the decision to participate in the market for snack food was separate from the purchase-level decision. Pretzels and popcorn consumers were unaffected by nutrition consideration of any kind. However, respondents who were overly concerned about desirable nutritional factors were unlikely to be buyers or potential buyers of snacks such as potato, corn, and tortilla chips.

Suggested Citation

  • Rimal, Arbindra & Fletcher, Stanley M., 2003. "Household Snack-Food Purchases: Does Nutrition Matter?," Journal of Food Distribution Research, Food Distribution Research Society, vol. 34(2), pages 1-11, July.
  • Handle: RePEc:ags:jlofdr:27324
    DOI: 10.22004/ag.econ.27324
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    References listed on IDEAS

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    1. Jensen, Kim, 1995. "Fluid Milk Purchase Patterns in the South: Effects of Use of Nutrition Information and Household Characteristics," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 27(2), pages 644-657, December.
    2. Allshouse, Jane & Frazao, Betsey & Turpening, John, 2002. "Are Americans Turning Away From Lower Fat Salty Snacks?," Food Review/ National Food Review, United States Department of Agriculture, Economic Research Service, vol. 25(3), pages 1-6.
    3. Capps, Oral, Jr. & Schmitz, John D., 1991. "A Recognition Of Health And Nutrition Factors In Food Demand Analysis," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 16(1), pages 1-15, July.
    4. Mullahy, John, 1986. "Specification and testing of some modified count data models," Journal of Econometrics, Elsevier, vol. 33(3), pages 341-365, December.
    5. Deborah J. Brown & Lee F. Schrader, 1990. "Cholesterol Information and Shell Egg Consumption," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(3), pages 548-555.
    6. Steven T. Yen & Wen S. Chern, 1992. "Flexible Demand Systems with Serially Correlated Errors: Fat and Oil Consumption in the United States," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(3), pages 689-697.
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