Smart Forward Shooting
Source: Computational Economics, Volume 33, Number 1, February 2009 , pp. 1-30(30)
Abstract: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.
Document Type: Research Article
Affiliations: 1: Department of Economics, Florida State University, Room 278 BEL, 113 Collegiate Loop, P.O. Box 3062180, Tallahassee, FL, 32306-2180, USA, Email: firstname.lastname@example.org 2: Department of Economics, Indiana University, Wylie Hall 105, Bloomington, IN, 47405, USA, Email: email@example.com
Publication date: February 1, 2009