Group comparisons and other issues in interpreting models for categorical outcomes using Stata
This presentation examines methods for interpreting regression models for categorical outcomes using predicted values. The talk begins with a simple example using basic commands in Stata. It builds on this example to show how more advanced programming features in Stata along with commands in Long and Freese's SPost package can be used in more complex applications that involve plotting predictions. These tools are then applied to the problem of comparing groups in models for categorical outcomes, focusing on the binary regression model. Identification issues make commonly used tests inappropriate since these tests confound the magnitude of the regression coefficients and the variance of the error. An alternative approach is proposed based on the comparisons of the predictions across groups. This approach is illustrated by extending the tools presented in the first part of the talk.
|Date of creation:||23 Jul 2006|
|Date of revision:|
|Contact details of provider:|| Web page: http://www.stata.com/meeting/5nasug|
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Paul D. Allison, 1999. "Comparing Logit and Probit Coefficients Across Groups," Sociological Methods & Research, SAGE Publishing, vol. 28(2), pages 186-208, November.
- Jun Xu & J. Scott Long, 2005. "Confidence intervals for predicted outcomes in regression models for categorical outcomes," Stata Journal, StataCorp LP, vol. 5(4), pages 537-559, December.
When requesting a correction, please mention this item's handle: RePEc:boc:asug06:15. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum)
If references are entirely missing, you can add them using this form.