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A comparison of hypothetical survey rankings with consumer shopping behavior and product knowledge

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  • Grebitus, Carola
  • Colson, Gregory
  • Menapace, Luisa

Abstract

Hypothetical surveys are commonly used to elicit consumer behavior to guide product development, marketing, and labeling strategies. However, despite the prevalence of surveys in consumer food studies, previous work has not assessed the relationship between hypothetical responses and actual consumer behavior in real-world purchase situations.We explore whether attributes cited by consumers in surveys as being important to them when making decisions indeed factor into their product decision process in real-world markets. Evidence from a point of sale study of 702 pork purchasers indicates that there is a strong correspondence between hypothetical survey ratings and actual shopping behavior.

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File URL: http://purl.umn.edu/120448
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Bibliographic Info

Article provided by Southern Agricultural Economics Association in its journal Journal of Agricultural and Applied Economics.

Volume (Year): 44 (2012)
Issue (Month): 01 (February)
Pages:

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Handle: RePEc:ags:joaaec:120448

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Web page: http://www.saea.org/jaae/jaae.htm
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Related research

Keywords: attribute ranking; consumer shopping behavior; hypothetical surveys; origin labeling; pork; Food Consumption/Nutrition/Food Safety; Marketing; C8; C9; Q1;

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References

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  1. Frode Alfnes & Kyrre Rickertsen, 2003. "European Consumers' Willingness to Pay for U.S. Beef in Experimental Auction Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(2), pages 396-405.
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  6. Shogren, Jason F. & Fox, John A. & Hayes, Dermot J. & Roosen, Jutta, 1999. "Observed Choices For Food Safety in Retail, Survey and Auction Markets," Staff General Research Papers 5024, Iowa State University, Department of Economics.
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  11. James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, 03.
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  13. Chen, Kevin Z. & Ali, Murad & Veeman, Michele M. & Unterschultz, James R. & Le, Theresa, 2002. "Relative Importance Rankings For Pork Attributes By Asian-Origin Consumers In California: Applying An Ordered Probit Model To A Choice-Based Sample," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 34(01), April.
  14. Jayson L. Lusk & F. Bailey Norwood, 2009. "An Inferred Valuation Method," Land Economics, University of Wisconsin Press, vol. 85(3), pages 500-514.
  15. Li Chuan-Zhong & Mattsson Leif, 1995. "Discrete Choice under Preference Uncertainty: An Improved Structural Model for Contingent Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 28(2), pages 256-269, March.
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  17. Tonsor, Glynn T. & Olynk, Nicole J. & Wolf, Christopher A., 2009. "Consumer Preferences for Animal Welfare Attributes: The Case of Gestation Crates," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 41(03), December.
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Cited by:
  1. Banterle, Alessandro & Cavaliere, Alessia & Ricci, Elena Claire, 2012. "Food Labelled Information: An Empirical Analysis," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 3(2).
  2. Banterle, Alessandro & Cavaliere, Alessia & Ricci, Elena Claire, 2012. "Food labelled Information: An Empirical Analysis of Consumer Preferences," 2012 International European Forum, February 13-17, 2012, Innsbruck-Igls, Austria 144960, International European Forum on Innovation and System Dynamics in Food Networks.

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