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Yield Estimation Throughout the Growing Season

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  • John Kruse
  • Darnell B. Smith

Abstract

The 1993 adverse weather and floods in the midwestern United States caused enormous damage. Apart from the impacts to urban areas, most the ponding and flood damage in the Upper Midwest occurred on farmland with significant effects on agricultural yields and production. Although public officials and policy makers knew that the agricultural damage was extensive during the summer of 1993, information was imprecise. Because the setting of policy parameters, such as those relating to disaster assistance, emergency wetlands reserve, and the emergency conservation program, depended directly on expectations of harvested yields, intraseason quantification of weather-induced impacts was required. Given this need, the Food and Agricultural Policy Research Institute (FAPRI) of Iowa State University was asked to estimate the extent of the flood damage in Iowa, detailing the impacts on acreage, yields, prices, and farm income (Smith et al. 1993). This experience of 1993 induced FAPRI to examine alternative procedures for estimating yields throughout the growing season. One of the more promising alternatives, in terms of parsimony and data availability, is presented in this paper.

Suggested Citation

  • 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.
  • Handle: RePEc:ias:fpaper:94-tr29
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    Cited by:

    1. Lehecka, Georg V., 2014. "The Value of USDA Crop Progress and Condition Information: Reactions of Corn and Soybean Futures Markets," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 39(1), pages 1-18, April.
    2. Tannura, Michael A. & Irwin, Scott H. & Good, Darrel L., 2008. "Weather, Technology, and Corn and Soybean Yields in the U.S. Corn Belt," Marketing and Outlook Research Reports 37501, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
    3. Nicholas Jorgensen & Matthew Diersen, 2014. "Forecasting Corn and Sotbean Yields with Crop Conditions," Issue Briefs 2014547, South Dakota State University, Department of Economics.
    4. Lehecka, Georg V., 2013. "The Reaction of Corn and Soybean Futures Markets to USDA Crop Progress and Condition Information," 2013 Annual Meeting, February 2-5, 2013, Orlando, Florida 142491, Southern Agricultural Economics Association.
    5. Cao, An N.Q. & Gebrekidan, Bisrat Haile & Heckelei, Thomas & Robe, Michel A., 2022. "County-level USDA Crop Progress and Condition data, machine learning, and commodity market surprises," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322281, Agricultural and Applied Economics Association.

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