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Terminal conditions in forward-looking economic models

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Richard Pierse (University of Surrey)

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Abstract

In this paper we show how the popular L-B-J algorithm for solving forward-looking economic models using Newton methods can be gen- eralised to allow for a block of terminal equations for variables that appear with a lead. The e¤ect of choosing di¤erent types of termi- nal condition is explored in a simple stochastic growth model using WinSolve, a general nonlinear model solution package.

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Publisher Info
Paper provided by Department of Economics, University of Surrey in its series Department of Economics Discussion Papers with number 1006.

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Length: 12 pages
Date of creation: Mar 2006
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Handle: RePEc:sur:surrec:1006

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  1. Taylor, John B & Uhlig, Harald, 1990. "Solving Nonlinear Stochastic Growth Models: A Comparison of Alternative Solution Methods," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 1-17, January.
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  2. den Haan, Wouter J & Marcet, Albert, 1990. "Solving the Stochastic Growth Model by Parameterizing Expectations," Journal of Business & Economic Statistics, American Statistical Association, vol. 8(1), pages 31-34, January.
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  3. Juillard, Michel & Laxton, Douglas & McAdam, Peter & Pioro, Hope, 1998. "An algorithm competition: First-order iterations versus Newton-based techniques," Journal of Economic Dynamics and Control, Elsevier, vol. 22(8-9), pages 1291-1318, August. [Downloadable!] (restricted)
  4. Fair, Ray C & Taylor, John B, 1983. "Solution and Maximum Likelihood Estimation of Dynamic Nonlinear Rational Expectations Models," Econometrica, Econometric Society, vol. 51(4), pages 1169-85, July. [Downloadable!] (restricted)
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  5. Boucekkine, Raouf, 1995. "An alternative methodology for solving nonlinear forward-looking models," Journal of Economic Dynamics and Control, Elsevier, vol. 19(4), pages 711-734, May. [Downloadable!] (restricted)
  6. Juillard, Michel, 1996. "Dynare : a program for the resolution and simulation of dynamic models with forward variables through the use of a relaxation algorithm," CEPREMAP Working Papers (Couverture Orange) 9602, CEPREMAP. [Downloadable!]
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