SPost is a collection of Stata ado files for the post-estimation interpretation of regression models for categorical outcomes. These commands works with Stata 9 and Stata 10; most commands will also work with Stata 8. If you use the commands in your work, please cite: J. Scott Long and Jeremy Freese, 2005, Regression Models for Categorical Outcomes Using Stata. Second Edition. College Station, TX: Stata Press. |
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About the 2nd Edition
The Second Edition of Regression Models for Categorical Outcomes Using Stata by J. Scott Long and Jeremy Freese began shipping in November 2006. For the full table of contents and purchasing information, click here.
This edition is nearly 50% longer than the previous edition. A few errors in the second edition are corrected here.This edition has a new chapter on estimating and interpreting models for nominal outcomes with alternative-specific data, including the multinomial-probit model, the rank-ordered logit model, and conditional logistic regression. New sections on the estimation and interpretation of the stereotype-logistic model and zero-truncated count models have also been added. Many of the interpretation techniques have been updated to include both point and interval estimates.
Technical details on the models
Many of the procedures implemented in SPost are more fully documented in:
J. Scott Long, 1997, Regression Models for Categorical and Limited Dependent Variables. Advanced Quantitative Techniques in the Social Sciences, Volume 7. Sage Publications. ISBN 0-8039-7374-8.
Buying Stata
Our commands are free, but Stata is not. For information on obtaining Stata, contact the folks at Stata. At Indiana University, you can purchase the program from the IU Stat/Math Center. Details on installation are here.
If you don't use Stata
If you don't use Stata, take a look at these Excel spreadsheets that allow you to compute post-estimation predictions.