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! ]

Demand-system estimation: Update

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Brian P. Poi (StataCorp)
Abstract

The nlsur command is better suited to demand-system estimation than the suite of ado-fifies provided in Poi (2002, Stata Journal 2: 403–410) because it is faster and requires only one ancillary ado-file. This article replicates the results presented in Poi (2002) by using nlsur instead of ml.

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 page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.stata-journal.com/article.html?article=st0029_1
File Format:
File Function: link to article purchase
Download Restriction: no
File URL: http://www.stata-journal.com/software/sj8-4/st0029_1/
File Format: text/html
File Function:
Download Restriction: no

Publisher Info
Article provided by StataCorp LP in its journal Stata Journal.

Volume (Year): 8 (2008)
Issue (Month): 4 (December)
Pages: 554-556
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:tsj:stataj:v:8:y:2008:i:4:p:554-556

Contact details of provider:
Web page: http://www.stata-journal.com/

Order Information:
Web: http://www.stata-journal.com/subscription.html

For technical questions regarding this item, or to correct its listing, contact: (Christopher F. Baum).

Related research
Keywords: nlsur; demand-system estimation; nonlinear estimation; maximum likelihood; demand equations;

Statistics
Access and download statistics

Did you know? All top Economics journals are listed on RePEc.

This page was last updated on 2009-12-14.

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.