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Forecasting Farm Income: Documenting USDA's Forecast Model

Author

Listed:
  • McGath, Christopher
  • McElroy, Robert G.
  • Strickland, Roger
  • Traub, Larry
  • Convey, Theodore
  • Short, Sara D.
  • Johnson, James
  • Green, Report
  • Ali, Mir B.
  • Vogel, Stephen

Abstract

No abstract is available for this item.

Suggested Citation

  • McGath, Christopher & McElroy, Robert G. & Strickland, Roger & Traub, Larry & Convey, Theodore & Short, Sara D. & Johnson, James & Green, Report & Ali, Mir B. & Vogel, Stephen, 2009. "Forecasting Farm Income: Documenting USDA's Forecast Model," Technical Bulletins 184311, United States Department of Agriculture, Economic Research Service.
    • Handle: RePEc:ags:uerstb:184311
    DOI: 10.22004/ag.econ.184311
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    File URL: https://ageconsearch.umn.edu/record/184311/files/tb1924.pdf
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    References listed on IDEAS

    as
    1. Dubman, Robert & McElroy, Robert G. & Dodson, Charles, 1993. "Forecasting Farm Income: Documenting USDA's Economic Model," Technical Bulletins 156757, United States Department of Agriculture, Economic Research Service.
    2. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
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    Cited by:

    1. Hughes, Neal & Soh, Wei Ying & Lawson, Kenton & Lu, Michael, 2022. "Improving the performance of micro-simulation models with machine learning: The case of Australian farms," Economic Modelling, Elsevier, vol. 115(C).
    2. Cai, Mattia & Cusumano, Niccolò & Lorenzoni, Arturo & Pontoni, Federico, 2017. "A comprehensive ex-post assessment of RES deployment in Italy: Jobs, value added and import leakages," Energy Policy, Elsevier, vol. 110(C), pages 234-245.

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    Keywords

    Farm Management; Productivity Analysis;

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