Regression Pillar
OLS, robust and clustered inference, nonlinear models, and postestimation.
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regress in Stata: OLS Basics and Correct Interpretation
Run regress stata in Stata with coefficient interpretation, inference checks, and practical modeling decisions for real datasets.
Robust Standard Errors in Stata: vce(robust) and Interpretation
Run robust standard errors stata in Stata with coefficient interpretation, inference checks, and practical modeling decisions for real datasets.
Clustered Standard Errors in Stata: vce(cluster) Do and Don't
Run cluster standard errors stata in Stata with coefficient interpretation, inference checks, and practical modeling decisions for real datasets.
Multicollinearity in Stata: VIF, Dropped Variables, and Redesign
Run multicollinearity stata in Stata with coefficient interpretation, inference checks, and practical modeling decisions for real datasets.
margins in Stata: Predictions, AMEs, and Clean Interpretation
Run margins stata in Stata with coefficient interpretation, inference checks, and practical modeling decisions for real datasets.
Factor Variables in Stata: i., c., Interactions, and Base Levels
Run i. factor variables stata in Stata with coefficient interpretation, inference checks, and practical modeling decisions for real datasets.
Interaction Terms in Stata: c.x##i.group with margins
Run interaction term stata in Stata with coefficient interpretation, inference checks, and practical modeling decisions for real datasets.
Fixed Effects in Stata with xtreg, fe: Assumptions and Output
Run xtreg fe stata in Stata with coefficient interpretation, inference checks, and practical modeling decisions for real datasets.