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Smart Forward Shooting

  • Manoj Atolia

    ()

    (Department of Economics, Florida State University)

  • Edward F. Buffie

    ()

    (Department of Economics, Indiana University)

In this paper we develop a set of innovative forward-shooting algorithms that solve for the global nonlinear saddle path in models with 1-3 jump variables. Exploiting the fact that the algorithms are mechanical and model-free, we have placed canned, fully-automated programs in the public domain. The programs do not require any substantive human input. The user’s only responsibility is to type in the equations of the model correctly.

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File URL: ftp://econpapers.fsu.edu/RePEc/fsu/wpaper/wp2008_04_01.zip
File Function: First version, 2007-11
Download Restriction: no

Paper provided by Department of Economics, Florida State University in its series Working Papers with number wp2008_04_01.

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Length: 44
Date of creation: Nov 2007
Date of revision: Apr 2008
Handle: RePEc:fsu:wpaper:wp2008_04_01
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  1. Brunner, Martin & Strulik, Holger, 2002. "Solution of perfect foresight saddlepoint problems: a simple method and applications," Journal of Economic Dynamics and Control, Elsevier, vol. 26(5), pages 737-753, May.
  2. Ric Herbert & Peter Stemp, 2003. "Exploiting Model Structure to Solve the Dynamics of a Macro Model," Computational Economics, Society for Computational Economics, vol. 21(3), pages 203-207, June.
  3. Manoj Atolia & Edward F. Buffie, 2004. "Reverse Shooting Made Easy: Solving for the Global Nonlinear Saddle Path," Working Papers wp2009_01_01, Department of Economics, Florida State University, revised Jan 2009.
  4. Mercenier, Jean & Michel, Philippe, 1994. "Discrete-Time Finite Horizon Appromixation of Infinite Horizon Optimization Problems with Steady-State Invariance," Econometrica, Econometric Society, vol. 62(3), pages 635-56, May.
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