Computing Interaction Effects and Standard Errors in Logit and Probit Models

Edward C. Norton, Hua Wang, Chunrong Ai

The Stata Journal Promoting communications on statistics and Stata · 2004 · 1.8K citations · 3 references

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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.

References

3