Regression models for categorical dependent variables using Stata

After reviewing the linear regression model and introducing maximum likelihood estimation, Long extends the binary logit and probit models, presents multinomial and conditioned logit models and describes models for sample selection bias

Note:

Introduction -- Introduction to Stata -- Estimation, testing, and fit -- Methods of interpretation -- Models for binary outcomes : estimation, testing, and fit -- Models for binary outcomes : interpretation -- Models for ordinal outcomes -- Models for nominal outcomes -- Models for count outcomes

E-bog