Estimation of Dynamic Nonlinear Rational Expectations Models of Primary Commodity Markets with Private and Government Stockholding
AbstractStochastic-dynamic programming and disequilibrium maximum likelihood methods are combined to estimate a dynamic nonlinear rational expectations model of a market for a storable primary commodity. The estimation model captures the inherently nonlinear structure of private stockholding dynamics, the disequilibrium effects of government buffer stock intervention, and the impact of price expectations and risk on private supply and stockholding decisions. Copyright 1993 by MIT Press.
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Bibliographic InfoArticle provided by MIT Press in its journal Review of Economics & Statistics.
Volume (Year): 75 (1993)
Issue (Month): 3 (August)
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- Hikaru Hanawa Peterson & William G. Tomek, 2005.
"How much of commodity price behavior can a rational expectations storage model explain?,"
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- Tokovenko, Oleksiy & Gunter, Lewell F., 2008. "Quarterly Storage Model of U.S. Cotton Market: Estimation of the Basis under Rational Expectations," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6435, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
- Peterson, Hikaru Hanawa & Tomek, William G., 2000. "Commodity Price Behavior: A Rational Expectations Storage Model of Corn," Working Papers 127682, Cornell University, Department of Applied Economics and Management.
- Wang, Dabin & Tomek, William G., 2005. "Characterizing Distributions of Class III Milk Prices: Implications for Risk Management," 2005 Annual meeting, July 24-27, Providence, RI 19322, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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