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A Split-Sample Revealed and Stated Preference Demand Model to Examine Homogenous Subgroup Consumer Behavior Responses to Information and Food Safety Technology Treatments

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  • O. Ashton Morgan
  • John C. Whitehead
  • William L. Huth
  • Gregory S. Martin
  • Richard Sjolander

Abstract

The combination and joint estimation of revealed and stated preference (RP/SP) data approach to examining consumer preferences to relevant policy-based measures typically fail to account for heterogeneity in the data by considering behavior of the average individual. However, in policy-based analyses, where the research is often driven by understanding how different individuals react to different or similar scenarios, a preferred approach would be to analyze preferences of homogenous population subgroups. We accomplish this by developing a split-sample RP/SP analysis that examines whether homogenous subgroups of the population, based on individual health and behavioral characteristics, respond differently to health-risk information and new food safety technology. The ongoing efforts by the U.S. Food and Drug Administration (FDA) to reduce illness and death associated with consuming raw Gulf of Mexico oysters provide an ideal platform for the analysis as the health risks only relate to a very specific consumer subgroup. Results from split-sample demand models indicate that educational information treatments cause vulnerable at-risk consumers to reduce their oyster demand, implying that a more structured approach to disseminating the brochures to the at-risk population could have the desired result of reducing annual illness levels. Also, findings across all subgroups provide strong empirical evidence that the new FDA policy requiring processing technology to be used in oyster production will have a detrimental effect on the oyster industry. Key Words: Food safety technology; health-risk information; homogenous subgroups; revealed preference; stated preference

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File URL: http://econ.appstate.edu/RePEc/pdf/wp1306.pdf
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Paper provided by Department of Economics, Appalachian State University in its series Working Papers with number 13-06.

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Date of creation: 2013
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Handle: RePEc:apl:wpaper:13-06

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Fax: 828-262-6105
Web page: http://www.business.appstate.edu/departments/economics/
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  1. Fox, John A & Hayes, Dermot J & Shogren, Jason F, 2002. " Consumer Preferences for Food Irradiation: How Favorable and Unfavorable Descriptions Affect Preferences for Irradiated Pork in Experimental Auctions," Journal of Risk and Uncertainty, Springer, vol. 24(1), pages 75-95, January.
  2. Wallace E. Huffman & Matthew Rousu & Jason F. Shogren & Abebayehu Tegene, 2004. "Who Do Consumers Trust for Information: The Case of Genetically Modified Foods?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(5), pages 1222-1229.
  3. Adamowicz W. & Louviere J. & Williams M., 1994. "Combining Revealed and Stated Preference Methods for Valuing Environmental Amenities," Journal of Environmental Economics and Management, Elsevier, vol. 26(3), pages 271-292, May.
  4. Paul R. Milgrom & John Roberts, 1985. "Relying on the Information of Interested Parties," Cowles Foundation Discussion Papers 749, Cowles Foundation for Research in Economics, Yale University.
  5. Whitehead, John C. & Haab, Timothy C. & Huang, Ju-Chin, 2000. "Measuring recreation benefits of quality improvements with revealed and stated behavior data," Resource and Energy Economics, Elsevier, vol. 22(4), pages 339-354, October.
  6. Egan, Kevin & Herriges, Joseph, 2006. "Multivariate count data regression models with individual panel data from an on-site sample," Journal of Environmental Economics and Management, Elsevier, vol. 52(2), pages 567-581, September.
  7. Nancy E. Bockstael & Ivar E. Strand, Jr., 1987. "The Effect of Common Sources of Regression Error on Benefit Estimates," Land Economics, University of Wisconsin Press, vol. 63(1), pages 11-20.
  8. Morgan, O. Ashton & Huth, William L., 2011. "Using revealed and stated preference data to estimate the scope and access benefits associated with cave diving," Resource and Energy Economics, Elsevier, vol. 33(1), pages 107-118, January.
  9. Timothy C. Haab & John C. Whitehead & George R. Parsons & Jammie Price, 2008. "Effects of Information about Invasive Species on Risk Perception and Seafood Demand by Gender and Race," Working Papers 08-02, Department of Economics, Appalachian State University.
  10. Carol Mansfield & Daniel J. Phaneuf & F. Reed Johnson & Jui-Chen Yang & Robert Beach, 2008. "Preferences for Public Lands Management under Competing Uses: The Case of Yellowstone National Park," Land Economics, University of Wisconsin Press, vol. 84(2), pages 282-305.
  11. Johnston, Robert J. & Roheim, Cathy A. & Donath, Holger & Asche, Frank, 2001. "Measuring Consumer Preferences For Ecolabeled Seafood: An International Comparison," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(01), July.
  12. 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.
  13. David G. Swartz & Ivar E. Strand, Jr., 1981. "Avoidance Costs Associated with Imperfect Information: The Case of Kepone," Land Economics, University of Wisconsin Press, vol. 57(2), pages 139-150.
  14. von Haefen, Roger H. & Phaneuf, Daniel J., 2008. "Identifying demand parameters in the presence of unobservables: A combined revealed and stated preference approach," Journal of Environmental Economics and Management, Elsevier, vol. 56(1), pages 19-32, July.
  15. Riccardo Scarpa & Mara Thiene & Tiziano Tempesta, 2007. "Latent class count models of total visitation demand: days out hiking in the eastern Alps," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 38(4), pages 447-460, December.
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  1. New Appstate working paper
    by John Whitehead in Environmental Economics on 2013-05-01 11:29:20

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