Numerical Steady State Solutions for Nonlinear Dynamic Optimization Models
Nonlinear dynamic optimization models are widely used in theoretical and empirical economic modeling, especially in the field of optimal growth and intertemporal macroeconomic modeling. In this paper we present a sequential quadratic programming algorithm for computing directly the steady state solution for a wide class of nonlinear dynamic optimization problems in discrete time.
(This abstract was borrowed from another version of this item.)
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
|Date of creation:||Jul 1994|
|Date of revision:|
|Contact details of provider:|| Postal: Austin, Texas 78712|
Phone: +1 (512) 471-3211
Fax: +1 (512) 471-3510
Web page: http://www.utexas.edu/cola/depts/economics/
More information through EDIRC
When requesting a correction, please mention this item's handle: RePEc:tex:carewp:9503. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Caroline Thomas)
If references are entirely missing, you can add them using this form.