IDEAS home Printed from https://ideas.repec.org/p/ags/n13415/285825.html

Relative Impact of StarLink and MIR162

Author

Listed:
  • Han, Xue
  • Garcia, Philip

Abstract

Although various topics related to genetically modified (GM) technology have been studied worldwide, few studies have investigated the price impact of genetically modified food events. This paper contributes to the literature by examining the price effects of multiple genetically modified corn contamination events in the U.S. corn market. Using the relative price of substitutes method and the time-varying cointegration, we identify at least three possible structural breaks relevant to the genetically modified corn contamination events. Our empirical results suggest that MIR162 is the largest and longest GM-related break, but notice this break was initially influenced by changes in U.S. corn and sorghum supply, and EPA’s proposed reduction of the ethanol mandate. China’s rejection of U.S. corn and its substantial imports of U.S sorghum protracted the depression of U.S. corn relative to sorghum until late 2014. Commodity market participants, policy makers and researchers can apply the finding and approach of this paper for anticipating the price impacts of multiple shocks in the commodity markets.

Suggested Citation

  • Han, Xue & Garcia, Philip, 2015. "Relative Impact of StarLink and MIR162," 2015 Conference, April 20-21, 2015, St. Louis, Missouri 285825, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
  • Handle: RePEc:ags:n13415:285825
    DOI: 10.22004/ag.econ.285825
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/285825/files/Han_Garcia_NCCC_134_2015.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.285825?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Li, Yarui & Wailes, Eric J. & McKenzie, Andrew M. & Thomsen, Michael R., 2010. "LL601 Contamination and Its Impact on U.S. Rice Prices," Journal of Agricultural and Applied Economics, Southern Agricultural Economics Association, vol. 42(01), pages 1-8, February.
    2. William Lin & Gregory K. Price & Edward W. Allen, 2003. "StarLink: Impacts on the U.S. corn market and world trade," Agribusiness, John Wiley & Sons, Ltd., vol. 19(4), pages 473-488.
    3. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    4. Juselius, Katarina, 2006. "The Cointegrated VAR Model: Methodology and Applications," OUP Catalogue, Oxford University Press, number 9780199285679.
    5. Yanhong H. Jin & Gabriel J. Power & Levan Elbakidze, 2008. "The Impact of North American BSE Events on Live Cattle Futures Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(5), pages 1279-1286.
    6. D.S. Bullock & Marion Desquilbet, 2002. "The economics of non-GMO segregation and identity preservation," Post-Print hal-02364321, HAL.
    7. Andrews, Donald W. K. & Lee, Inpyo & Ploberger, Werner, 1996. "Optimal changepoint tests for normal linear regression," Journal of Econometrics, Elsevier, vol. 70(1), pages 9-38, January.
    8. Mjelde, James W. & Bessler, David A. & Jerko, Christine A., 2002. "Understanding Cointegration: An Application to the Western United States Electricity Market," The Electricity Journal, Elsevier, vol. 15(9), pages 81-90, November.
    9. Mark E. Smith & Eileen O. van Ravenswaay & Stanley R. Thompson, 1988. "Sales Loss Determination in Food Contamination Incidents: An Application to Milk Bans in Hawaii," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 70(3), pages 513-520.
    10. 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.
    11. Golub, Alla A. & Wilson, Christine A. & Featherstone, Allen M., 2005. "The Effects Of Starlink Corn Food Safety Events On Returns And Risk Of Agribusiness Firms," Staff Papers 28641, Purdue University, Department of Agricultural Economics.
    12. Bullock, D. S. & Desquilbet, M., 2002. "The economics of non-GMO segregation and identity preservation," Food Policy, Elsevier, vol. 27(1), pages 81-99, February.
    13. 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.
    14. Martinez-Mejia, Pablo & Malaga, Jaime E., 2009. "The Effect of Ethanol Production on Coarse Grains: New Price Relationships," Journal of Agribusiness, Agricultural Economics Association of Georgia, vol. 27(01-2), pages 1-15.
    15. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    16. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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, Boston, Massachusetts 236004, Agricultural and Applied Economics Association.
    2. 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.
    3. Neil R. Ericsson, 2021. "Dynamic Econometrics in Action: A Biography of David F. Hendry," International Finance Discussion Papers 1311, Board of Governors of the Federal Reserve System (U.S.).
    4. Shushanik Papanyan, 2010. "The transmission of shocks between Europe, Japan and the United States," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 54-70.
    5. Mylonidis, Nikolaos & Kollias, Christos, 2010. "Dynamic European stock market convergence: Evidence from rolling cointegration analysis in the first euro-decade," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2056-2064, September.
    6. Hallin, M. & van den Akker, R. & Werker, B.J.M., 2012. "Rank-based Tests of the Cointegrating Rank in Semiparametric Error Correction Models," Other publications TiSEM bc68a2f2-3ca3-443c-b3ac-f, Tilburg University, School of Economics and Management.
    7. Ye, Shiyu & Karali, Berna, "undated". "Estimating relative price impact: The case of Brent and WTI," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235728, Agricultural and Applied Economics Association.
    8. Dahl, Roy Endre & Ogland, Atle & Osmundsen, Petter & Sikveland, Marius, 2011. "Are oil and natural gas going separate ways in the UK? Cointegration tests with Structural shifts," UiS Working Papers in Economics and Finance 2011/5, University of Stavanger.
    9. Pablo de la Vega & Guido Zack & Jimena Calvo & Emiliano Libman, 2024. "Inflation Determinants in Argentina (2004-2022)," Papers 2405.20822, arXiv.org.
    10. Carter, Colin A. & Smith, Aaron D., 2004. "The Market Effect of a Food Scare: The Case of Genetically Modified StarLink Corn," Working Papers 11997, University of California, Davis, Department of Agricultural and Resource Economics.
    11. Paulo M.M. Rodrigues & Philipp Sibbertsen, 2019. "Testing for breaks in the cointegrating relationship: On the stability of government bond markets’ equilibrium," Working Papers w201912, Banco de Portugal, Economics and Research Department.
    12. Kentaro Kawasaki & Zhi-Qian Wang, 2015. "Is Economic Development Promoting Monetary Integration in East Asia?," IJFS, MDPI, vol. 3(4), pages 1-31, October.
    13. Óscar Penagos Gómez & H�ctor Rojas Serrano & Jacobo Campo Robledo, 2013. "La paradoja Feldstein – Horioka: Evidencia para Colombia (1925 – 2011)," Documentos de Trabajo 12393, Universidad Católica de Colombia.
    14. Kühl, Michael, 2007. "Cointegration in the foreign exchange market and market efficiency since the introduction of the Euro: Evidence based on bivariate cointegration analyses," University of Göttingen Working Papers in Economics 68, University of Goettingen, Department of Economics.
    15. John Khumalo, 2014. "Consumer Spending and Consumer Confidence in South Africa: Cointegration Analysis," Journal of Economics and Behavioral Studies, AMH International, vol. 6(2), pages 95-104.
    16. repec:kap:iaecre:v:16:y:2010:i:1:p:80-95 is not listed on IDEAS
    17. Lahura, Erick, 2017. "El efecto traspaso de la tasa de interés de política monetaria en Perú: evidencia reciente," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 33, pages 9-27.
    18. Fakhri, Hasanov, 2010. "The Impact of Real Effective Exchange Rate on the Non-oil Export: The Case of Azerbaijan," MPRA Paper 29556, University Library of Munich, Germany.
    19. Fakhri Hasanov, 2010. "The Impact of Real Oil Price on Real Effective Exchange Rate: The Case of Azerbaijan," Discussion Papers of DIW Berlin 1041, DIW Berlin, German Institute for Economic Research.
    20. Bartosz Jóźwik & Betül Altay Topcu & Mesut Doğan, 2024. "The Impact of Nuclear Energy Consumption, Green Technological Innovation, and Trade Openness on the Sustainable Environment in the USA," Energies, MDPI, vol. 17(15), pages 1-17, August.
    21. Ricardo Bebczuk & Maria Lorena Garegnani, 2012. "Real State as Housing and as Financial Investment: A First Assessment for Argentina," IIE, Working Papers 095, IIE, Universidad Nacional de La Plata.

    More about this item

    Keywords

    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ags:n13415:285825. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: AgEcon Search (email available below). General contact details of provider: http://www.farmdoc.illinois.edu/nccc134/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.