bookNov 15, 2005Closed access

Regression Models for Categorical Dependent Variables Using Stata, Second Edition

Abstract

Regression Models for Categorical Dependent Variables Using Stata, 2nd Edition, by J. Scott Long and Jeremy Freese, shows how to fit and interpret regression models for categorical data with Stata. Nearly 50% longer than the previous edition, the book covers new topics for fitting and interpretating models included in Stata 9, such as multinomial probit models, the stereotype logistic model, and zero-truncated count models. Many of the interpretation techniques have been updated to include interval as well as point estimates.

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Authors

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Topics & keywords

Keywords
  • Categorical variable
  • Multinomial logistic regression
  • Statistics
  • Multinomial probit
  • Econometrics
  • Multinomial distribution
  • Logistic regression
  • Probit model
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