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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1,812
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FWCI
88.78
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100%
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4
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Authors

3

Topics & 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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