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Documentation for the Agri-Food Economic Data System (Ag-FEDS): Multiplier Model Applications

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  • Rehkamp, Sarah
  • Zachary, James Chandler
  • Baker, Quinton
  • Canning, Patrick

Abstract

The Agri-Food Economic Data System (Ag-FEDS) is an integrated system of economic data that elaborates the linkages between all production and consumption activities throughout the U.S. economy. This data system incorporates developments to provide the most complete accounting of the U.S. food economy to date and is a flexible modeling platform that supports research in this area. This report makes three extensions to Ag-FEDS in preparation for multiplier analysis: (1) complete passthrough accounting of food commodities, (2) inclusion of non-farm food commodities in the food supply chain, and (3) partitioning import/export commodity flows to avoid re-exporting imports. Ag-FEDS is used as the underlying data source for two food-system-specific multiplier models: the Food Dollar and the Resource Requirements of Food Demand. The multiplier models based on the extended Ag-FEDS data are then derived in this report. The resulting output data of this analysis present greater detail and insights into the U.S. food economyʼs costs and resource use than previously available.

Suggested Citation

  • Rehkamp, Sarah & Zachary, James Chandler & Baker, Quinton & Canning, Patrick, 2026. "Documentation for the Agri-Food Economic Data System (Ag-FEDS): Multiplier Model Applications," Technical Bulletins 396235, United States Department of Agriculture, Economic Research Service.
  • Handle: RePEc:ags:uerstb:396235
    DOI: 10.22004/ag.econ.396235
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    References listed on IDEAS

    as
    1. Rehkamp, Sarah & Canning, Patrick, 2018. "Measuring Embodied Blue Water in American Diets: An EIO Supply Chain Approach," Ecological Economics, Elsevier, vol. 147(C), pages 179-188.
    2. Canning, Patrick, "undated". "A Revised and Expanded Food Dollar Series: A Better Understanding of Our Food Costs," Economic Research Report 262243, United States Department of Agriculture, Economic Research Service.
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