The Stata Journal Promoting communications on statistics and Stata · 2004 · 1.8K citations · 3 references
Public HealthBiostatisticsCausal InferenceEconometricsExperimental DesignDiscrete Choice ModelsGeneralized Linear ModelsInteraction AnalysisLog-linear ModelsModel SpecificationNonlinear Mixed-effects ModelingInteraction Effect AnalysisInteraction EffectsInteraction Effects ModelingLinear Mixed ModelsLinear ModelsNonlinear Interaction EffectsNonlinear Regression ModelsProbit Regression
This paper explains why computing the marginal effect of a change in two variables is more complicated in nonlinear models than in linear models. The command inteff computes the correct marginal effect of a change in two interacted variables for a logit or probit model, as well as the correct standard errors. The inteff command graphs the interaction effect and saves the results to allow further investigation.
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Interaction terms in logit and probit models
Chunrong Ai, Edward C. Norton · Economics Letters · 2003 · 5.8K citations