Home  /  Bookstore  /  Title index  /  Categorical, count, and censored outcomes  /  Regression Models for Categorical and Limited Dependent Variables
 

Regression Models for Categorical and Limited Dependent Variables


Click to enlarge
See the back cover


Buy from Amazon

Info
As an Amazon Associate, StataCorp earns a small referral credit from qualifying purchases made from affiliate links on our site.
Amazon Associate affiliate link

Info What are VitalSource eBooks?
Your access code will be emailed upon purchase.
eBook not available for this title

eBook not available for this title

Author:
J. Scott Long
Publisher: Sage
Copyright: 1997
ISBN-13: 978-0-8039-7374-9
Pages: 297; hardcover
Author:
J. Scott Long
Publisher: Sage
Copyright: 1997
ISBN-13:
Pages: 297; eBook
Price: $0.00
Author:
J. Scott Long
Publisher: Sage
Copyright: 1997
ISBN-13:
Pages: 297; Kindle
Price: $
Supplements:programs

Comment from the Stata technical group

Regression Models for Categorical and Limited Dependent Variables, by J. Scott Long of Indiana University, is accessible to students and professionals alike. The author provides a unified treatment of the most prevalent and useful models for categorical and limited dependent variables. The book places a strong emphasis on model interpretation that is not found in most statistics texts. The mathematics is thorough but is complementary rather than focal.

This is an excellent resource for an introduction to the categorical and limited dependent variables or as a desk reference.

For Stata users, the book benefits greatly from the associated software. Dr. Long has developed and made available a suite of Stata commands to implement many of the techniques discussed in the book and programs to do the analyses that are contained in his book. The commands and programs can be accessed by pointing your web browser to http://www.indiana.edu/~jslsoc/spost.htm. They can also be installed directly in Stata with just a few net commands.

Table of contents

View table of contents >>