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ABOUTREG: Stata module providing tutorial on regression diagnostics

Author info | Abstract | Publisher info | Download info | Related research | Statistics
Author Info
Stanislav Kolenikov () (University of Missouri)

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

Abstract

This tutorial was developed for the seminars on applied econometrics that the author was giving in Spring 2000 at a couple of Russian provincial universities in the framework of the New Economic School outreach program. When you type net get aboutreg.tut, it is copied to your current directory, so remember the location for further reference, as you might need to type in the full path then. Otherwise, just type tutorial aboutreg to get started. All standard Stata tutorials come in the core Stata directory, so to be able to launch this aboutreg thing, you can copy it there (only if you fully understand what you are doing, though).

Download Info
To download:

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File URL: http://www.komkon.org/~tacik/stata/aboutreg.tut
File Format: text/plain
File Function:
Download Restriction: no

Publisher Info
Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S416602.

Download reference. The following formats are available: HTML, plain text, BibTeX, RIS (EndNote), ReDIF
Size:
Programming language: Stata
Requires: Stata version 6.0
Date of creation: 25 Feb 2001
Date of revision:
Handle: RePEc:boc:bocode:s416602

Note: This module may be installed from within Stata by typing "net from http://www.komkon.org/~tacik/stata/"
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: regression diagnostics tutorial collinearity non-linearity heteroskedasticity normality

Statistics
Access and download statistics

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This page was last updated on 2008-5-14.


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.