From the course: Advanced and Specialized Statistics with Stata
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Categorical by categorical interactions - Stata Tutorial
From the course: Advanced and Specialized Statistics with Stata
Categorical by categorical interactions
- [Instructor] In this session we're going to explore how to interpret and visualize categorical by categorical interactions. For example, we may wish to explore the differential effects between gender and union membership on expected wages. Both gender and union membership are generally measured as binary variables. So we'll need to understand how to identify and interpret such interactions. Generally in my experience, interpreting coefficients from categorical interactions is easier than for continuous interactions. However, if there are too many categories or interactions, then this can also quickly overwhelm the user. Here's the example of a regression on wages that contains a categorical by categorical interaction effect. Union membership, a binary variable, is interactive with nationality, a three category indicator. The results of these interactions are displayed in theses coefficients here. There is a…
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What is an interaction effect?3m 54s
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How to use margins and marginsplot6m 37s
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Continuous polynomial interactions5m 49s
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Continuous by continuous interactions6m 19s
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Categorical by categorical interactions5m 46s
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Categorical by linear interactions5m 37s
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Challenge: Interaction effects43s
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Solution: Interaction effects5m 13s
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