Logit stata manual

stata logit fixed effects clusterlogit stata interpretation
logit stata command
xtlogit stata
logit stata fixed-effects
logistic regression stata command
mlogit stata
stata logit predict

stata.com. Ordered logit models are used to estimate relationships between an ordinal dependent variable and a set of independent variables. mlogit fits a multinomial logit (MNL) model for a categorical dependent variable with outcomes that have no natural ordering. The actual values taken by the Version info: Code for this page was tested in Stata 12. Logistic regression, also called a logit model, is used to model dichotomous outcome variables.[CM] cmrologit. Rank-ordered logit choice model. [CM] cmroprobit. Rank-ordered probit choice model. The following command fits models for discrete choices xtlogit fits random-effects, conditional fixed-effects, and population-averaged logit models for a binary dependent variable. The probability of a positive xtlogit — Fixed-effects, random-effects, and population-averaged logit models. Syntax. Menu. Description. Options for RE model. Options for FE model.