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Predicting Aggregate Milk Production: An Empirical Study

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  • Glenn A. Zepp
  • Robert H. McAlexander

Abstract

There 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.

Suggested Citation

  • Glenn A. Zepp & Robert H. McAlexander, 1969. "Predicting Aggregate Milk Production: An Empirical Study," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 51(3), pages 642-649.
    • Handle: RePEc:oup:ajagec:v:51:y:1969:i:3:p:642-649.
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    File URL: http://hdl.handle.net/10.2307/1237915
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    Cited by:

    1. Tomek, William G. & Robinson, Kenneth L., 1977. "PART V. Agricultural Price Analysis and Outlook," AAEA Monographs, Agricultural and Applied Economics Association, number 337217, january.
    2. Feuz, Dillon M. & Skold, Melvin D., 1990. "Typical Farm Theory in Agricultural Research," Economics Staff Papers 232175, South Dakota State University, Department of Economics.

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