Does Complexity Pay? Forecasting Corn and Soybean Yields Using Crop Condition Ratings
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DOI: 10.22004/ag.econ.358998
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References listed on IDEAS
- John Kruse & Darnell B. Smith, 1994. "Yield Estimation Throughout the Growing Season," Center for Agricultural and Rural Development (CARD) Publications 94-tr29, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Rogier Quaedvlieg, 2021. "Multi-Horizon Forecast Comparison," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 40-53, January.
- Kruse, John & Smith, Darnell, 1994. "Yield Estimation Throughout the Growing Season," Staff General Research Papers Archive 768, Iowa State University, Department of Economics.
- John Kruse & Darnell B. Smith, 1994. "Yield Estimation Throughout the Growing Season," Food and Agricultural Policy Research Institute (FAPRI) Publications (archive only) 94-tr29, Center for Agricultural and Rural Development (CARD) at Iowa State University.
- Irwin, Scott & Hubbs, Todd, . "What to Make of High Early Season Crop Condition Ratings for Corn?," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 8.
- Irwin, Scott & Hubbs, Todd, . "Measuring the Accuracy of Forecasting Corn and Soybean Yield with Good and Excellent Crop Condition Ratings," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 8.
- Irwin, Scott & Good, Darrel, . "How Should We Use Within-Season Crop Condition Ratings for Corn and Soybeans?," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 7.
- Irwin, Scott & Good, Darrel, . "When Should We Start Paying Attention to Crop Condition Ratings for Corn and Soybeans?," farmdoc daily, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics, vol. 7.
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