Solving for the Global Nonlinear Saddlepath: Reverse Shooting vs. Approximation Methods

Manoj Atolia () and Edward Buffie ()
Additional contact information
Edward Buffie: Department of Economics, Indiana University

No wp2004_08_01, Working Papers from Department of Economics, Florida State University

Abstract: We present the blueprints for a set of innovative reverse shooting algorithms that trap the global saddle path in systems with 2-4 state variables. The solution procedure is built around a new distance mapping and refined simplex algorithms. Since the algorithms are completely reliable and always work in the same way, we have been able to develop canned problems that solve for the global nonlinear saddle path in any model with 2-4 state variables. The programs are written in the spirit of plug and play: the user types in the equations of the model and then waits for the solution.

Keywords: Reverse Shooting; global saddle path; distance mapping. (search for similar items in EconPapers)
JEL-codes: C61 C63 E00 (search for similar items in EconPapers)
Pages: 42
Date: 2004-08
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://coss.fsu.edu/econpapers/wpaper/wp2004_08_01.pdf First version, 2004-08 (application/pdf)

Related works:
Working Paper: Solving for the Global Nonlinear Saddlepath: Reverse Shooting vs. Approximation Methods (2005)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:fsu:wpaper:wp2004_08_01

Ordering information: This working paper can be ordered from

Access Statistics for this paper

More papers in Working Papers from Department of Economics, Florida State University Contact information at EDIRC.
Bibliographic data for series maintained by Luke Rodgers ().