Abstract
AbstractThere is a need for predictive and aggregate output response models suitable for answering questions about short‐term changes in agricultural output. In this study, short‐term milk output projections for Southeast Pennsylvania between 1961 and 1965 were derived with a linear programming, a recursive programming, and a regression model. The predictiveness of each model is evaluated by comparing its estimate of aggregate milk production with reported output for target years. Differences are expressed as percentage error from reported production.
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