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Comparing Numerical Methods for Solving the Competitive Storage Model

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  • Christophe Gouel

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Abstract

This paper compares numerical methods for solving the competitive storage model. Because storage implies a nonnegativity constraint on stocks, the solution methods must be considered carefully. The model is solved using value function iteration and several projection approaches, including parameterised expectations and decision rules approximation. In considering a storage model with convenience yield, in which the inequality constraint is smoothed, perturbation methods are also applied. Parameterised expectations approximation proves to be the most accurate method, whereas perturbation techniques are shown inadequate for solving this highly nonlinear model. The endogenous grid method allows rapid solution if supply is assumed to be inelastic. Copyright Springer Science+Business Media, LLC. 2013

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Bibliographic Info

Article provided by Society for Computational Economics in its journal Computational Economics.

Volume (Year): 41 (2013)
Issue (Month): 2 (February)
Pages: 267-295

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Handle: RePEc:kap:compec:v:41:y:2013:i:2:p:267-295

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Web page: http://www.springerlink.com/link.asp?id=100248
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Keywords: Binding constraint; Nonlinear rational expectations models; Numerical methods;

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Cited by:
  1. Bruce A. Babcock & Wei Zhou, 2013. "Impact on Corn Prices from Reduced Biofuel Mandates," Center for Agricultural and Rural Development (CARD) Publications 13-wp543, Center for Agricultural and Rural Development (CARD) at Iowa State University.
  2. Pfuderer, Simone, 2014. "Are stockholders rational? An experimental approach to testing the competitive storage model," 88th Annual Conference, April 9-11, 2014, AgroParisTech, Paris, France 170537, Agricultural Economics Society.

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