Intraseasonal Demand for Fall Potatoes under Rational Expectations

Mario Miranda () and Joseph W. Glauber

American Journal of Agricultural Economics, 1993, vol. 75, issue 1, 104-112

Abstract: An iterative numerical strategy combining maximum likelihood methods and stochastic-dynamic programming is used to estimate a dynamic nonlinear rational expectations model of the U.S. fall potato market. The model captures the essential processes governing the intraseasonal dynamics of potato consumption and storage, including the impact of price expectations on stockholding decisions. The model is used to analyze the temporal pattern of demand for fall potatoes.

Date: 1993
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Persistent link: https://EconPapers.repec.org/RePEc:oup:ajagec:v:75:y:1993:i:1:p:104-112.

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