Estimating a Nonlinear Rational Expectations Commodity Price Model with Unobservable State Variables
AbstractThis paper is concerned with the estimation of a model in which a possibly serially correlated stochastic process, the "harvest" of an agricultural commodity, generates a competitive price in a market comprising both final consumers and risk-neutral speculators who can store the commodity at a cost in the anticipation of profit. Because storage cannot be negative, the relationship between prices and harvests is inherently nonlinear and is an unpromising candidate for a linear-quadratic model, or for linearization more generally. Instead, we calculate numerically a policy function in which price is a function of two unobservable state variables, the harvest and current availability, and we use the result to fit the price data. Copyright 1995 by John Wiley & Sons, Ltd.
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Bibliographic InfoArticle provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.
Volume (Year): 10 (1995)
Issue (Month): S (Suppl. Dec.)
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Web page: http://www.interscience.wiley.com/jpages/0883-7252/
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- Colin A. Carter & Gordon C. Rausser & Aaron Smith, 2011. "Commodity Booms and Busts," Annual Review of Resource Economics, Annual Reviews, vol. 3(1), pages 87-118, October.
- Scandizzo, Pasquale Lucio & Savastano, Sara & Vezzani, Antonio, 2010. "The deterministic and speculative component of the terms of trade of primary commodities: An “Eclectic” Real Option value approach," 114th Seminar, April 15-16, 2010, Berlin, Germany 61086, European Association of Agricultural Economists.
- Nazlioglu, Saban, 2011. "World oil and agricultural commodity prices: Evidence from nonlinear causality," Energy Policy, Elsevier, vol. 39(5), pages 2935-2943, May.
- Pietola, Kyösti & Liu, Xing & Robles, Miguel, 2010. "Price, inventories, and volatility in the global wheat market," IFPRI discussion papers 996, International Food Policy Research Institute (IFPRI).
- Christophe Gouel, 2013. "Comparing Numerical Methods for Solving the Competitive Storage Model," Computational Economics, Society for Computational Economics, vol. 41(2), pages 267-295, February.
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