Abstract
Regional corn yield models incorporating stochastic trends, prices and weather variables are estimated. Hypothesis tests suggest yield variability has increased because of an increase in error variance and an increase in weather-related effects. Decomposition of the error variance shows much of its increase is due to an increased correlaion between regional yields.
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