Computing Interaction Effects and Standard Errors in Logit and Probit Models
University of North Carolina at Chapel Hill · University of Florida · +1 more institution
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Abstract
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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Authors
3Topics & keywords
Keywords
- Logit
- Probit
- Ordered probit
- Econometrics
- Probit model
- Standard error
- Logistic regression
- Computer science
UN Sustainable Development Goals
- Reduced inequalities
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