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Dynamic Corn Supply Functions: A Model with Explicit Optimization
Economic Staff Paper Series
  • Abebayehu Tegene, Iowa State University
  • Wallace E. Huffman, Iowa State University
  • John A. Miranowski, Iowa State University
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Both static and dynamic models have been used to estimate aggregate supply elasticities for annual crops. The early studies relied on static single-equation models in a few variables, assumed static price expectations (e.g., Kohls and Paarlberg), and produced very small estimates of own-price supply elasticities (e.g., 0.07 for corn), Nerlove (1956, 1958a) and Nerlove and Addison showed that models of agricultural supply that incorporated adap tive price expectations and (or) dynamic resource adjustment produced larger estimates of supply elasticities for corn and other agricultural commodities. Additionally, they showed that supply elasticities obtained from static models need not be bounded by the short-run and long-run supply elasticities of dynamic models. These simple, single-equation, Nerlovian-type models have been adapted to a wide range of agricultural supply problems, e.g., see Askari and Cummings; Nerlove (1979).
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This paper is published in American Journal of Agricultural Economics, Vol 70, No. 1 pp. 103-111

Citation Information
Abebayehu Tegene, Wallace E. Huffman and John A. Miranowski. "Dynamic Corn Supply Functions: A Model with Explicit Optimization" (1987)
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