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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. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    2. 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.
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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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