Using the Margins Command to Estimate and Interpret Adjusted Predictions and Marginal Effects
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Abstract
Many researchers and journals place a strong emphasis on the sign and statistical significance of effects—but often there is very little emphasis on the substantive and practical significance of the findings. As Long and Freese (2006, Regression Models for Categorical Dependent Variables Using Stata [Stata Press]) show, results can often be made more tangible by computing predicted or expected values for hypothetical or prototypical cases. Stata 11 introduced new tools for making such calculations—factor variables and the margins command. These can do most of the things that were previously done by Stata's own adjust and mfx commands, and much more. Unfortunately, the complexity of the margins syntax, the…
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1Topics & keywords
Keywords
- Categorical variable
- Computer science
- Margin (machine learning)
- Variable (mathematics)
- Sign (mathematics)
- Syntax
- Interpretation (philosophy)
- Contrast (vision)
UN Sustainable Development Goals
- Reduced inequalities
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