Books

	J. Scott Long & Jeremy Freese, 2005, Regression Models for Categorical Dependent Variables Using Stata, Second Edition. For the full table of contents and purchasing information, click here. A few errors in the second edition are corrected here. For details on the book and related software, click here.
	J. Scott Long, 1997, Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences). Sage Publications. ISBN 0-8039-7374-8. Errata. Table of Contents. The results presented in the book can be replicated in Stata with the SPost commands described here. The data in Stata format are here. The data in Excel format are here.
	J. Scott Long, 1997 (translated 2002), Regression Models for Categorical and Limited Dependent Variables. Taipei, Taiwan: Hun-chi Publication. Translated by Cheng, Simon, Yu-che Chang, Chien-yu Pan, and Ke-ming Lin.

Workshops

For upcoming ICPSR workshops on regression models for categorical dependent variables, check here.

Stata Software

For information on Stata programs that implements the methods from these books, click here.

Excel Workbooks

If you are using a program other than Stata, it can be difficult to compute some of the post-estimation statistics that I recommend. To address this problem, Simon Cheng and I have written a set of Excel worksheets that allow you paste in your estimates (from whatever program you use) and Excel will compute predicted probabilities, discrete change coefficients, and plots. For details, click here.

Review Paper

The following paper: "Regression Models for Categorical Outcomes" with Simon Cheng. Forthcoming in Melissa Hardy and Alan Bryman (editors), Handbook of Data Analysis, Sage Publications. reviews the basic principles for the selection and interpretation of regression models for categorical outcomes. The paper includes some new materials on the interpretation of less common models for ordinal outcomes. Past Workshops Workshops on Categorical Data Analysis, The Quantitative Methods Committee (QMC), University of Kentucky, April 10-11, 2003.