An Application Of The Rational Expectations Hypothesis In The U.S. Beekeeping Industry
A national beekeeping-industry model, assuming rational expectations, is presented. Consistent and asymptotically efficient estimates are obtained by a modified two-step two-stage least squares method. Based on parameter estimates, elasticities, and likelihood functions, a previously estimated modified adaptive expectations model explains industry behavior better than the rational expectations model. Simulation analyses of the models suggest the direction of the impacts of an ineffective federal honey support program from 1982 through 1985 is similar but the magnitudes are varied. The rational expectations model indicates the decrease in beekeepers' revenue in this period is larger than the decrease identified by the modified adaptive expectations model.
Volume (Year): 20 (1991)
Issue (Month): 2 (October)
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- Satheesh V. Aradhyula & Matthew T. Holt, 1988.
"Risk Behavior and Rational Expectations in the U.S. Broiler Market,"
Food and Agricultural Policy Research Institute (FAPRI) Publications
88-wp33, Food and Agricultural Policy Research Institute (FAPRI) at Iowa State University.
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- Satheesh V. Aradhyula & Matthew T. Holt, 1988. "Risk Behavior and Rational Expectations in the U.S. Broiler Market," Center for Agricultural and Rural Development (CARD) Publications 88-wp33, Center for Agricultural and Rural Development (CARD) at Iowa State University.
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"Two-step two-stage least squares estimation in models with rational expectations,"
Journal of Econometrics,
Elsevier, vol. 21(3), pages 333-355, April.
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- Askari, Hossein & Cummings, John Thomas, 1977. "Estimating Agricultural Supply Response with the Nerlove Model: A Survey," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 257-292, June.
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