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Methodology of the USDA, Economic Research Service’s Agricultural Trade Multipliers

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  • Zahniser, Steven
  • Zeng, Wendy
  • Dong, Fengxia
  • Ivanic, Maros
  • Husby, Megan
  • Pham, Xuan
  • Meade, Douglas

Abstract

USDA’s Economic Research Service (ERS) produces the Agricultural Trade Multipliers (ATMs)—a data product that provides annual estimates of the economic output and number of jobs supported by U.S. agricultural trade, with detail for 124 product groups. The ATMs are a resource for government agencies, academics, and other stakeholders to estimate the effect that U.S. agricultural trade has on the farm and nonfarm sectors of the U.S. economy and the contribution of U.S. agricultural exports to employment and economic output. In 2021, ERS researchers overhauled the computer programming used to estimate the multipliers to implement an approach that was more streamlined and automated while retaining the structure of the existing model. This bulletin outlines the methodology used in the new programming to access the data needed to estimate the ATMs and to utilize that information to calculate the estimates.

Suggested Citation

  • Zahniser, Steven & Zeng, Wendy & Dong, Fengxia & Ivanic, Maros & Husby, Megan & Pham, Xuan & Meade, Douglas, 2024. "Methodology of the USDA, Economic Research Service’s Agricultural Trade Multipliers," Technical Bulletins 347597, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerstb:347597
    DOI: 10.22004/ag.econ.347597
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    References listed on IDEAS

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    3. Henry, Mark & Schluter, Gerald, 1985. "Measuring Backward and Forward Linkages in the U.S. Food and Fiber System," Journal of Agricultural Economics Research, United States Department of Agriculture, Economic Research Service, vol. 37(4), pages 1-7.
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    7. Schluter, Gerald, 1972. "Linkages Between Agriculture And The U.S. National Income And Product Accounts," Northeastern Journal of Agricultural and Resource Economics, Northeastern Agricultural and Resource Economics Association, vol. 0(Number 1), pages 1-12.
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    Keywords

    International Relations/Trade; Labor and Human Capital; Research Methods/ Statistical Methods; Teaching/Communication/Extension/Profession;
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