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U.S. Feeder Cattle Prices: Effects Of Finance And Risk, Cow-Calf And Feedlot Technologies, And Mexican Feeder Imports

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  • Marsh, John M.

Abstract

Analysis of U.S. feeder steer prices normally includes fed cattle prices and feed grain costs. An expanded econometric model which investigates finance cost, profit risk, hay cost, technology, and Mexican feeder cattle import shares is estimated. Results indicate statistical significance of nearly all variables. The increase in feeder import shares contributed to $0.60/cwt of the $24.48/cwt decline in real feeder price from 1980-1999. Improved technology in producing feeder calves had reduced feeder prices more substantially, by $4. 86/cwt from 1980-1999. Increased feedlot technology through cost savings has increased feeder price. Feedlot risk management and macro-economic policies affecting the U.S. prime interest rate could continue to affect feeder prices.

Suggested Citation

  • Marsh, John M., 2001. "U.S. Feeder Cattle Prices: Effects Of Finance And Risk, Cow-Calf And Feedlot Technologies, And Mexican Feeder Imports," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 26(2), pages 1-15, December.
    • Handle: RePEc:ags:jlaare:31054
    DOI: 10.22004/ag.econ.31054
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    2. Coffey, Brian K. & Tonsor, Glynn T. & Schroeder, Ted C., 2018. "Impacts of Changes in Market Fundamentals and Price Momentum on Hedging Live Cattle," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(1), January.
    3. Mitchell, James L. & Tonsor, Glynn T., 2017. "Effect of Price Expectations and Market Volatility on Sale Rates at Superior Livestock Video Auctions," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258425, Agricultural and Applied Economics Association.
    4. Marsh, John M. & Brester, Gary W., 2004. "Wholesale-Retail Marketing Margin Behavior in the Beef and Pork Industries," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(1), pages 1-20, April.
    5. Elham Rahmani & Mohammad Khatami & Emma Stephens, 2024. "Using Probabilistic Machine Learning Methods to Improve Beef Cattle Price Modeling and Promote Beef Production Efficiency and Sustainability in Canada," Sustainability, MDPI, vol. 16(5), pages 1-19, February.

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    Demand and Price Analysis;

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