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! ]

Code for "The Japanese Saving Rate"

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Kaiji Chen (University of Oslo)
Ayse Imrohoroglu (University of Southern California)
Selahattin Imrohoroglu (University of Southern California)

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

Abstract

Matlab code for "The Japanese Saving Rate", forthcoming in the American Economic Review

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/imrohoroglu/japan/
File Format: text/html
File Function: program code, data and instructions
Download Restriction: none

Publisher Info
Software component provided by Quantitative Macroeconomics & Real Business Cycles in its series QM&RBC Codes with number 160.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Size:
Programming language: Matlab
Requires:
Date of creation: 2005
Date of revision:
Handle: RePEc:dge:qmrbcd:160

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? Citation analysis on IDEAS includes online papers that are freely accessible and whose text could be automatically analyzed, currently about 150000 papers.

This page was last updated on 2008-10-3.


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.