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Effects and Value of Verifiable Information in a Controversial Market: Evidence from Lab Auctions of Genetically Modified Food

  • Rousu, Matthew
  • Huffman, Wallace
  • Shogren, Jason F.
  • Tegene, Abebayehu

Food products containing genetically modified (GM) ingredients have entered the market over the past decade. The biotech industry and environmental groups have disseminating conflicting private information about GM foods. This paper develops a unique methodology for valuing independent third-party information in such a setting and applies this method to consumersï¾’ willingness to pay for food products that might be GM. Data are collected from real consumers in an auction market setting with randomized information and labeling treatments. The average value of third-party information per lab participant is small, but the public good value across U.S. consumers is shown to be quite large.

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File URL: http://www.econ.iastate.edu/sites/default/files/publications/papers/paper_12702_06041.pdf
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Paper provided by Iowa State University, Department of Economics in its series Staff General Research Papers with number 12702.

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Date of creation: 01 Jul 2007
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Publication status: Published in Economic Inquiry, July 2007, vol. 45 no. 3, pp. 409-432
Handle: RePEc:isu:genres:12702
Contact details of provider: Postal: Iowa State University, Dept. of Economics, 260 Heady Hall, Ames, IA 50011-1070
Phone: +1 515.294.6741
Fax: +1 515.294.0221
Web page: http://www.econ.iastate.edu
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  1. Huffman, Wallace & Rousu, Matthew & Shogren, Jason F. & Tegene, Abebayehu, 2004. "The Effects of Prior Beliefs and Learning on Consumers' Acceptance of Genetically Modified Foods," Staff General Research Papers 12212, Iowa State University, Department of Economics.
  2. Huffman, Wallace E. & Shogren, Jason F. & Rousu, Matthew C. & Tegene, Abebayehu, 2003. "Consumer Willingness to Pay for Genetically Modified Food Labels in a Market with Diverse Information: Evidence from Experimental Auctions," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 28(03), December.
  3. Jeffrey M Wooldridge, 2010. "Econometric Analysis of Cross Section and Panel Data," MIT Press Books, The MIT Press, edition 2, volume 1, number 0262232588, June.
  4. Lusk, Jayson L. & Daniel, M. Scott & Mark, Darrell R. & Lusk, Christine L., 2001. "Alternative Calibration And Auction Institutions For Predicting Consumer Willingess To Pay For Nongenetically Modified Corn Chips," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(01), July.
  5. Stephen Morris & Hyun Song Shin, 2002. "Social Value of Public Information," American Economic Review, American Economic Association, vol. 92(5), pages 1521-1534, December.
  6. Carlson, Andrea & Kinsey, Jean D. & Nadav, Carmel, 1998. "Who Eats What, When, And From Where?," Working Papers 14312, University of Minnesota, The Food Industry Center.
  7. Foster, William & Just, Richard E., 1989. "Measuring welfare effects of product contamination with consumer uncertainty," Journal of Environmental Economics and Management, Elsevier, vol. 17(3), pages 266-283, November.
  8. Jay R. Corrigan & Matthew C. Rousu, 2006. "Posted Prices and Bid Affiliation: Evidence from Experimental Auctions," Working Papers 0602, Kenyon College, Department of Economics.
  9. Viscusi, W Kip & Evans, William N, 1990. "Utility Functions That Depend on Health Status: Estimates and Economic Implications," American Economic Review, American Economic Association, vol. 80(3), pages 353-74, June.
  10. Paul Milgrom & John Roberts, 1986. "Relying on the Information of Interested Parties," RAND Journal of Economics, The RAND Corporation, vol. 17(1), pages 18-32, Spring.
  11. repec:cup:cbooks:9780521671248 is not listed on IDEAS
  12. 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," Staff General Research Papers 5207, Iowa State University, Department of Economics.
  13. Huffman, Wallace E. & Tegene, Abebayehu, 2002. "Public Acceptance of and Benefits from Agricultural Biotechnology: A Key Role for Verifiable Information," Staff General Research Papers 10435, Iowa State University, Department of Economics.
  14. Amos Tversky & Daniel Kahneman, 1979. "Prospect Theory: An Analysis of Decision under Risk," Levine's Working Paper Archive 7656, David K. Levine.
  15. Shogren, Jason F. & Margolis, Michael & Koo, Cannon & List, John A., 2001. "A random nth-price auction," Journal of Economic Behavior & Organization, Elsevier, vol. 46(4), pages 409-421, December.
  16. Jason F. Shogren & John A. Fox, 1996. "Consumer Preferences for Fresh Food Items with Multiple Quality Attributes: Evidence from an Experimental Auction of Pork Chops," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 78(4), pages 916-923.
  17. Viscusi, W Kip, 1997. "Alarmist Decisions with Divergent Risk Information," Economic Journal, Royal Economic Society, vol. 107(445), pages 1657-70, November.
  18. Smith, Vernon L, 1976. "Experimental Economics: Induced Value Theory," American Economic Review, American Economic Association, vol. 66(2), pages 274-79, May.
  19. John A. List & Michael K. Price, 2013. "Using Field Experiments in Environmental and Resource Economics," NBER Working Papers 19289, National Bureau of Economic Research, Inc.
  20. Wilson, William W. & Dahl, Bruce L., 2002. "Costs And Risks Of Testing And Segregating Gm Wheat," Agribusiness & Applied Economics Report 23480, North Dakota State University, Department of Agribusiness and Applied Economics.
  21. Hayes, Dermot J. & Shogren, Jason F. & Shin, Seung Youll & Kliebenstein, James, 1995. "Valuing Food Safety in Experimental Auction Markets," Staff General Research Papers 835, Iowa State University, Department of Economics.
  22. repec:cup:cbooks:9780521456821 is not listed on IDEAS
  23. Kinsey, Jean D. & Wolfson, Paul J. & Katsaras, Nikolaos & Senauer, Benjamin, 2001. "Data Mining: A Segmentation Analysis Of U.S. Grocery Shoppers," Working Papers 14335, University of Minnesota, The Food Industry Center.
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