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Price Transmission and Food Scares in the U.S. Beef Sector

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  • Livanis, Grigorios T.
  • Moss, Charles B.

Abstract

The advent of mad cow disease in Canada in the United States raises numerous concerns regarding consumer reaction to information in the United States. To examine the role of consumer reaction to information we examine the response of price spreads in the U.S. beef market to a Food Safety Index derived from Lexis-Nexis. Specifically, we estimate a vector error correction model to examine the long and short-run effect of news on price spreads. Our results indicate that informational shocks are fairly transient in the retail prices, but persist at the wholesale and farm level.

Suggested Citation

  • Livanis, Grigorios T. & Moss, Charles B., 2005. "Price Transmission and Food Scares in the U.S. Beef Sector," 2005 Annual meeting, July 24-27, Providence, RI 19485, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea05:19485
    DOI: 10.22004/ag.econ.19485
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    2. Saghaian, Sayed H. & Reed, Michael R., 2007. "Consumer Reaction to Beef Safety Scares," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 10(1), pages 1-19.
    3. Alejandro Acosta & Carlos Barrantes & Rico Ihle, 2020. "Animal disease outbreaks and food market price dynamics: Evidence from regime‐dependent modelling and connected scatterplots," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), pages 960-976, July.
    4. Islam Hassouneh & Teresa Serra & José M. Gil, 2010. "Price transmission in the Spanish bovine sector: the BSE effect," Agricultural Economics, International Association of Agricultural Economists, vol. 41(1), pages 33-42, January.
    5. Acosta, Alejandro & Barrantes, Carlos & Ihle, Rico, 2020. "Animal disease outbreaks and food market price dynamics: Evidence from regime-dependent modelling and connected scatterplots," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 64(3), July.
    6. Erdal Erol & Sayed H. Saghaian, 2022. "The COVID-19 Pandemic and Dynamics of Price Adjustment in the U.S. Beef Sector," Sustainability, MDPI, vol. 14(8), pages 1-14, April.
    7. Acosta, Alejandro & McCorriston, Steve & Nicolli, Francesco & Venturelli, Ester & Wickramasinghe, Upali & ArceDiaz, Eduardo & Scudiero, Lavinia & Sammartino, Alejandro & Schneider, Fritz & Steinfeld, , 2021. "Immediate effects of COVID-19 on the global dairy sector," Agricultural Systems, Elsevier, vol. 192(C).
    8. Assefa, Tsion & Meuwissen, Miranda & Lansink, Alfons G.J.M., 2015. "Food scares and price volatility: the case of German and Spanish pig chains," 2015 Conference, August 9-14, 2015, Milan, Italy 210966, International Association of Agricultural Economists.
    9. Samantha L. Durborow & Chanjin Chung & Seon‐woong Kim, 2017. "Implications of the 2006 E. coli outbreak on spatial price transmission in the U.S. fresh spinach market," Agribusiness, John Wiley & Sons, Ltd., vol. 33(4), pages 475-492, September.
    10. Seok, Jun Ho & Kim, GwanSeon & Reed, Michael R. & Kim, Soo-Eun, 2018. "The impact of avian influenza on the Korean egg market: Who benefited?," Journal of Policy Modeling, Elsevier, vol. 40(1), pages 151-165.
    11. Amer Ait Sidhoum & Teresa Serra, 2016. "Volatility Spillovers in the Spanish Food Marketing Chain: The Case of Tomato," Agribusiness, John Wiley & Sons, Ltd., vol. 32(1), pages 45-63, January.

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