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An Update and Re-Estimation of the ERS Livestock Baseline Model

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  • Maples, William E.
  • Brorsen, B. Wade
  • Hahn, William F.
  • MacLachlan, Mathew
  • Chalise, Lekhnath

Abstract

This report describes a re-estimation of the Economic Research Service (ERS) domestic livestock baseline model. The model consists of production, demand, and price transmission sections for the beef, pork, broiler, and turkey sectors. The updated model largely maintains the overall structure of the current model and mainly focuses on re-estimating the equations with current data. However, major changes were made to the consumer demand part of the baseline model. The current model uses an “inverse demand” model. Inverse demand models take the quantities available to consumers and then calculate the prices that will make consumers buy those quantities. The version presented in this paper uses a quantity dependent system. The equations calculate how much beef, pork, chicken, and turkey consumers will want to buy given the prices of the four meats and consumer income. This updated livestock baseline model could aid the ERS in making ten-year projections for the United States livestock sector.

Suggested Citation

  • Maples, William E. & Brorsen, B. Wade & Hahn, William F. & MacLachlan, Mathew & Chalise, Lekhnath, 2019. "An Update and Re-Estimation of the ERS Livestock Baseline Model," 2019 Conference, April 15-16, 2019, Minneapolis, Minnesota 309634, NCR-134/ NCCC-134 Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    • Handle: RePEc:ags:n13419:309634
    DOI: 10.22004/ag.econ.309634
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    References listed on IDEAS

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    1. Abigail Tiffin & Richard Tiffin, 1999. "Estimates of Food Demand Elasticities for Great Britain: 1972–1994," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(1), pages 140-147, January.
    2. Maples, Joshua G. & Lusk, Jayson L. & Peel, Derrell S., 2018. "Unintended consequences of the quest for increased efficiency in beef cattle: When bigger isn’t better," Food Policy, Elsevier, vol. 74(C), pages 65-73.
    3. Kasteridis, Panagiotis & Yen, Steven, 2012. "U.S. demand for organic and conventional vegetables: a Bayesian censored system approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(3), pages 1-21.
    4. Hideo Kozumi & Noriko Hashimoto & Hikaru Hasegawa, 1999. "Testing for negativity in a demand system: A Bayesian approach," Empirical Economics, Springer, vol. 24(2), pages 211-223.
    5. Stillman, Richard P., 1985. "A Quarterly Model of the Livestock Industry," Technical Bulletins 157008, United States Department of Agriculture, Economic Research Service.
    6. Bir, Courtney & DeVuyst, Eric A. & Rolf, Megan & Lalman, David, . "Optimal Beef Cow Weights in the U.S. Southern Plains," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(01).
    7. James A. Chalfant & Richard S. Gray & Kenneth J. White, 1991. "Evaluating Prior Beliefs in a Demand System: The Case of Meat Demand in Canada," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 476-490.
    8. Panagiotis Kasteridis & Steven T. Yen, 2012. "U.S. demand for organic and conventional vegetables: a Bayesian censored system approach," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(3), pages 405-425, July.
    9. Abdulbaki Bilgic & Steven T. Yen, 2014. "Demand for meat and dairy products by Turkish households: a Bayesian censored system approach," Agricultural Economics, International Association of Agricultural Economists, vol. 45(2), pages 117-127, March.
    10. Panagiotis Kasteridis & Steven T. Yen & Cheng Fang, 2011. "Bayesian Estimation of a Censored Linear Almost Ideal Demand System: Food Demand in Pakistan," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 93(5), pages 1374-1390.
    11. David L. Edgerton, 1997. "Weak Separability and the Estimation of Elasticities in Multistage Demand Systems," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 62-79.
    12. Muhammad, Andrew & Meade, Birgit Gisela Saager & Regmi, Anita & Seale, James L., 2011. "International Evidence on Food Consumption Patterns: An Update Using 2005 International Comparison Program Data," Technical Bulletins 120252, United States Department of Agriculture, Economic Research Service.
    13. Muhammad, Andrew & Meade, Birgit Gisela Saager, 2011. "International Evidence on Food Consumption Patterns: An Update Using 2005 International Comparison Program Data," Technical Bulletins 120252, United States Department of Agriculture, Economic Research Service.
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