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South Dakota State University

2014

Yield forecasting models

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A Comparison Of Corn Yield Forecasting Models, Nicholas Jorgensen Jan 2014

A Comparison Of Corn Yield Forecasting Models, Nicholas Jorgensen

Electronic Theses and Dissertations

The purpose of this research is to compare and analyze several different yield forecasting methods. The study analyzes corn yields in Ohio and South Dakota for the years 1986 through 2012. A base model, with a trend and state dummy variable is developed. Two competing models, one with objective variables and one with subjective variables, are then developed as additions to the base model. The competing objective model is developed by adding accumulated growing degree days (GDD) and accumulated rainfall variables. The competing subjective model is developed by adding a USDA crop conditions index (CCI) variable. The models are estimated …