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Estimating the Market Effect of a Food Scare: The Case of Genetically Modified StarLink Corn

Author

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  • Colin A. Carter

    (Professor of Agricultural and Resource Economics at the University of California, Davis)

  • Aaron Smith

    (Associate Professor of Agricultural and Resource Economics at the University of California, Davis)

Abstract

In 2000, a genetically modified corn variety called StarLink that was not approved for human consumption was discovered in the food-corn supply. To estimate the price impact of this event on the U.S. corn market, we develop the relative price of a substitute method. This method applies not only to the StarLink event but also to rare events in other markets. We find that the contamination led to a 6.8% discount in corn prices and that the suppression of prices lasted for at least a year. Copyright by the President and Fellows of Harvard College and the Massachusetts Institute of Technology.

Suggested Citation

  • Colin A. Carter & Aaron Smith, 2007. "Estimating the Market Effect of a Food Scare: The Case of Genetically Modified StarLink Corn," The Review of Economics and Statistics, MIT Press, vol. 89(3), pages 522-533, August.
  • Handle: RePEc:tpr:restat:v:89:y:2007:i:3:p:522-533
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    References listed on IDEAS

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    Cited by:

    1. Wyn Morgan & John Cotter & Kevin Dowd, 2012. "Extreme Measures of Agricultural Financial Risk," Journal of Agricultural Economics, Wiley Blackwell, vol. 63(1), pages 65-82, February.
    2. David Ubilava, 2014. "El Niño Southern Oscillation and the fishmeal–soya bean meal price ratio: regime-dependent dynamics revisited," European Review of Agricultural Economics, Foundation for the European Review of Agricultural Economics, vol. 41(4), pages 583-604.
    3. Filipski, Mateusz J. & Jin, Ling & Zhang, Xiaobo & Chen, Kevin Z., 2015. "Living like there’s no tomorrow: Saving and spending following the Sichuan earthquake:," IFPRI discussion papers 1461, International Food Policy Research Institute (IFPRI).
    4. Almánzar, Miguel & Torero, Máximo & Grebmer, Klaus von, 2013. "Futures Commodities Prices and Media Coverage," Discussion Papers 149414, University of Bonn, Center for Development Research (ZEF).
    5. Han, Xue & Philip, Garcia, 2016. "GMO Contamination Price Effects in the U.S. Corn Market: StarLink and MIR162," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 236004, Agricultural and Applied Economics Association.
    6. Kalaitzandonakes, Nicholas & Kaufman, James & Miller, Douglas, 2014. "Potential economic impacts of zero thresholds for unapproved GMOs: The EU case," Food Policy, Elsevier, vol. 45(C), pages 146-157.
    7. de Faria, Rosane Nunes & Wieck, Christine, 2014. "Measuring The Extent Of Gmo Asynchronous Approval Using Regulatory Dissimilarity Indices: The Case Of Maize And Soybean," 2014 International Congress, August 26-29, 2014, Ljubljana, Slovenia 182796, European Association of Agricultural Economists.
    8. repec:bla:jageco:v:68:y:2017:i:1:p:182-198 is not listed on IDEAS
    9. Henseler, Martin & Piot-Lepetit, Isabelle & Ferrari, Emanuele & Mellado, Aida Gonzalez & Banse, Martin & Grethe, Harald & Parisi, Claudia & Hélaine, Sophie, 2013. "On the asynchronous approvals of GM crops: Potential market impacts of a trade disruption of EU soy imports," Food Policy, Elsevier, vol. 41(C), pages 166-176.
    10. R. Guy Reeves & Martin Phillipson, 2017. "Mass Releases of Genetically Modified Insects in Area-Wide Pest Control Programs and Their Impact on Organic Farmers," Sustainability, MDPI, Open Access Journal, vol. 9(1), pages 1-24, January.
    11. Wesseler, Justus, 0. "Biotechnologies and agrifood strategies: opportunities, threats and economic implications," Bio-based and Applied Economics Journal, Italian Association of Agricultural and Applied Economics (AIEAA), issue 3.
    12. de Faria, Rosane Nunes & Wieck, Christine, 2015. "Empirical evidence on the trade impact of asynchronous regulatory approval of new GMO events," Food Policy, Elsevier, vol. 53(C), pages 22-32.

    More about this item

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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