This file is part of IDEAS, which uses RePEc data


[ Papers | Articles | Software | Books | Chapters | Authors | Institutions | JEL Classification | NEP reports | Search | New papers by email | Author registration | Rankings | Volunteers | FAQ | Blog | Help! ]

Solve Deterministic Optimal Growth Model Using Projection Algorithm (GAUSS)

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
David DeJong
Chetan Dave

Additional information is available for the following registered author(s):

Abstract

Uses a projection algorithm to solve the deterministic growth model approximation based on a weighted least squares objective function. This algorithm is described in Chapter 10 of Macroeconometric Analysis. The authors request that use of these code in published work be acknowledged by citation of the textbook Macroeconometric Analysis, as well by the citation of any other researchers recognized within the documentation that accompanies the code.

Download Info
To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. In case of further problems read the IDEAS help file. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://dge.repec.org/codes/dejong/determgrowth.prg
File Format: application/x-gauss
File Function: program code
Download Restriction: none

Publisher Info
Software component provided by Quantitative Macroeconomics & Real Business Cycles in its series QM&RBC Codes with number 150.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Size:
Programming language: GAUSS
Requires:
Date of creation: 2006
Date of revision:
Handle: RePEc:dge:qmrbcd:150

Contact details of provider:
Postal: 341 Mansfield Road/U-63, Storrs, Connecticut 06269-1063
Phone: (860) 486-4889
Fax: (860) 486-4463
Web page: http://dge.repec.org/
More information through EDIRC

For technical questions regarding this item, or to correct its listing, contact: (Christian Zimmermann).

Related research
Keywords:

Statistics
Access and download statistics

Did you know? RePEc data is maintained by each archive holder on its own website. Nothing is held centrally.

This page was last updated on 2008-12-22.


This information is provided to you by IDEAS at the Department of Economics, College of Liberal Arts and Sciences, University of Connecticut using RePEc data on a server sponsored by the Society for Economic Dynamics.