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Solving the Stochastic Growth Model by Linear-Quadratic Approximation

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Author Info
McGrattan, Ellen R

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Abstract

I describe a method that can be used to approximate the solution of the stochastic growth model. The method relies on approximating the return and transition functions of the original problem by taking second-order and first-order Taylor expansions around the steady state of the system. The result is the optimal linear regulator problem.

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Publisher Info
Article provided by American Statistical Association in its journal Journal of Business and Economic Statistics.

Volume (Year): 8 (1990)
Issue (Month): 1 (January)
Pages: 41-44
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Handle: RePEc:bes:jnlbes:v:8:y:1990:i:1:p:41-44

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  1. Jose Maria Da Rocha & Diego Restuccia, 2006. "The Role of Agriculture in Aggregate Business Cycles," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 9(3), pages 455-482, July. [Downloadable!] (restricted)
  2. Jose Maria Da Rocha & Diego Restuccia, 2002. "Aggregate Employment Fluctuations and Agricultural Share," Working Papers diegor-02-02, University of Toronto, Department of Economics. [Downloadable!]
  3. Alexis Anagnostopoulos, 2004. "Consumption and Debt Dynamics with (Rarely Binding) Borrowing Constraints," Economics Working Papers ECO2004/34, European University Institute. [Downloadable!]
  4. Jose Maria Da Rocha & Diego Restuccia, 2002. "The Role of Agriculture in Aggregate Business Cycle Fluctuations," Working Papers diegor-02-04, University of Toronto, Department of Economics. [Downloadable!]
  5. John B. Taylor & Harald Uhlig, 1990. "Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods," NBER Working Papers 3117, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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This page was last updated on 2009-11-22.


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