IDEAS home Printed from https://ideas.repec.org/p/ags/usdami/323861.html
   My bibliography  Save this paper

Structure of the USDA Livestock and Poultry Baseline Model

Author

Listed:
  • Maples, William E.
  • Brorsen, B. Wade
  • Hahn, William
  • MacLachlan, Matthew
  • Chalise, Lekhnath

Abstract

The U.S. Department of Agriculture (USDA) produces annual 10-year projections for the food and agriculture sector that cover major agricultural commodities, agricultural trade, and aggregated indicators of the U.S. farm sector. These projections are published in an annual report, with the most recent being USDA Agricultural Projections to 2031. Also, the Economic Report of the President includes these projections and has a direct impact on policy decisions. These 10-year projections are called the “baseline.” The USDA’s Economic Research Service (ERS) maintains a stand-alone livestock baseline model, which characterizes the relationships among livestock production and the market conditions for related animal products for cattle/beef, hogs/pork, chicken, and turkey. This bulletin outlines the equations used to create the livestock baseline. These equations were used in the creation of the 2031 baseline report.

Suggested Citation

  • Maples, William E. & Brorsen, B. Wade & Hahn, William & MacLachlan, Matthew & Chalise, Lekhnath, 2022. "Structure of the USDA Livestock and Poultry Baseline Model," USDA Miscellaneous 323861, United States Department of Agriculture.
  • Handle: RePEc:ags:usdami:323861
    DOI: 10.22004/ag.econ.323861
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/323861/files/tb-1956.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.323861?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. Stillman, Richard P., 1985. "A Quarterly Model of the Livestock Industry," Technical Bulletins 157008, United States Department of Agriculture, Economic Research Service.
    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. Bir, Courtney & DeVuyst, Eric A. & Rolf, Megan & Lalman, David, 2018. "Optimal Beef Cow Weights in the U.S. Southern Plains," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(1), January.
    4. Hjort, Kim & Boussios, David & Seeley, Ralph & Hansen, James, 2018. "The ERS Country-Commodity Linked System: Documenting Its International Country and Regional Agricultural Baseline Models," Technical Bulletins 282511, United States Department of Agriculture, Economic Research Service.
    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. Gerval, Adam & Hansen, James, 2022. "COVID-19 Working Paper: Single Commodity Export Dependence and the Impacts of COVID-19 in Sub-Saharan Africa," USDA Miscellaneous 323866, United States Department of Agriculture.
    2. Valdes, Constanza & Hjort, Kim & Seeley, Ralph, 2020. "Brazil's Agricultural Competitiveness: Recent Growth and Future Impacts under Currency Depreciation and Changing Macroeconomic Conditions," Economic Research Report 327206, United States Department of Agriculture, Economic Research Service.
    3. Eswaramoorthy, K., 1991. "U.S. livestock production and factor demand: a multiproduct dynamic dual approach," ISU General Staff Papers 1991010108000010523, Iowa State University, Department of Economics.
    4. Westcott, Paul C. & Hull, David B., 1985. "A Quarterly Forecasting Model for U.S. Agriculture," Technical Bulletins 156815, United States Department of Agriculture, Economic Research Service.
    5. Unknown, 1990. "Structural Change in Livestock: Causes, Implications, Alternatives," Research Institute on Livestock Pricing 232728, Virginia Polytechnic Institute and State University, Department of Agricultural and Applied Economics.
    6. Huang, Kuo S. & Hahn, William F., 1995. "U.S. Quarterly Demand for Meats," Technical Bulletins 156769, United States Department of Agriculture, Economic Research Service.
    7. Skold, Karl Durwood, 1989. "The integration of alternative information systems: an application to the Hogs and Pigs report," ISU General Staff Papers 1989010108000010239, Iowa State University, Department of Economics.
    8. Regmi, Hari & Kuethe, Todd H. & Foster, Kenneth A., 2022. "Evaluation of USDA's Agricultural Exports Projections," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322363, Agricultural and Applied Economics Association.
    9. Caputo, Vincenzina & Scarpa, Riccardo & Nayga, Rodolfo M. & Ortega, David L., 2018. "Are preferences for food quality attributes really normally distributed? An analysis using flexible mixing distributions," Journal of choice modelling, Elsevier, vol. 28(C), pages 10-27.
    10. Boussios, David & Skorbiansky, Sharon Raszap & Maclachlan, Matthew, 2021. "Evaluating U.S. Department of Agriculture’s Long-Term Forecasts for U.S. Harvested Area," USDA Miscellaneous 309616, United States Department of Agriculture.
    11. Boussios, David & Skoriansky, Sharon Raszap & MacLachlan, Matthew, 2021. "Evaluating U.S. Department of Agriculture’s Long-Term Forecasts for U.S. Harvested Area," USDA Miscellaneous 309619, United States Department of Agriculture.
    12. Gerval, Adam & Hansen, James, 2022. "COVID-19 Working Paper: Single Commodity Export Dependence and the Impacts of COVID-19 in Sub-Saharan Africa," Administrative Publications 327336, United States Department of Agriculture, Economic Research Service.
    13. Wen Lin, 2023. "The effect of product quantity on willingness to pay: A meta‐regression analysis of beef valuation studies," Agribusiness, John Wiley & Sons, Ltd., vol. 39(3), pages 646-663, July.
    14. Ryan Feuz & F. Bailey Norwood & Ranjith Ramanathan, 2020. "Do consumers have an appetite for discolored beef?," Agribusiness, John Wiley & Sons, Ltd., vol. 36(4), pages 631-652, October.
    15. Pudenz, Christopher C. & Schulz, Lee L., 2021. "Packer Procurement, Structural Change, and Moving Average Basis Forecasts: Lessons from the Fed Dairy Cattle Industry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 46(3), September.
    16. Chen, Dean T. & Dharmaratne, Gerard, 1990. "Endogeneity Testing of Wheat Price Determination in a Nonlinear Simultaneous Structural Model," Research Reports 257905, Texas A&M University, Agricultural and Food Policy Center.
    17. Brenna Ellison & Linlin Fan & Norbert L.W. Wilson, 2022. "Is it more convenient to waste? Trade‐offs between grocery shopping and waste behaviors," Agricultural Economics, International Association of Agricultural Economists, vol. 53(S1), pages 75-89, November.
    18. Park, Timothy A., 1990. "Forecast Evaluation For Multivariate Time-Series Models: The U.S. Cattle Market," Western Journal of Agricultural Economics, Western Agricultural Economics Association, vol. 15(1), pages 1-11, July.

    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:usdami:323861. 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.usda.gov .

    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.