Computing Interaction Effects and Standard Errors in Logit and Probit Models

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 standa...

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Veröffentlicht in:The Stata journal 2004-06, Vol.4 (2), p.154-167
Hauptverfasser: Norton, Edward C., Wang, Hua, Ai, Chunrong
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:1536-867X
1536-8734
DOI:10.1177/1536867X0400400206