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! ]

BIC: Stata module to evaluate the statistical significance of variables in a model

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Paul Millar () (University of Calgary)

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

Abstract

bic is a post-estimation command that uses the Bayesian Information Criterion (BIC) for estimating the probability that a variable is part of a model, the equivalent of the statistical significance of a variable's effect. bic estimates models based on all possible combinations of the independent variables - it is computationally intensive. For each of these models it calculates the BIC statistic. It then calculates the probability of each of these models, based on Bayesian principles as first proposed by Schwarz (1978) and further developed by Raftery (1995).

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://fmwww.bc.edu/repec/bocode/b/bic.ado
File Format: text/plain
File Function: program code
Download Restriction: no
File URL: http://fmwww.bc.edu/repec/bocode/b/bic.hlp
File Format: text/plain
File Function: help file
Download Restriction: no

Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S449507.

Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Size:
Programming language: Stata
Requires: Stata version 8
Date of creation: 19 Jun 2005
Date of revision: 30 Mar 2008
Handle: RePEc:boc:bocode:s449507

Note: This module may be installed from within Stata by typing "ssc install bic". Windows users should not attempt to download these files with a web browser.
Contact details of provider:
Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Email:
Web page: http://fmwww.bc.edu/EC/
More information through EDIRC

Order Information:
Web: http://repec.org/docs/ssc.php

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

Related research
Keywords: Bayesian information criterion; Schwarz; BIC;

Statistics
Access and download statistics

Did you know? The RePEc project started in 1997. Its precursor, NetEc, dates back to 1993.

This page was last updated on 2010-1-4.


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.