166 Multicollinearity

This video explains how to detect multicollinearity in econometrics, a common issue where predictor variables are highly correlated. It builds from intuitive explanations to the standard statistical tool, the Variance Inflation Factor (VIF). The video covers classic signs of multicollinearity in regression outputs and introduces correlation matrices as a preliminary check. It emphasizes that VIF quantifies how much the variance of a coefficient is inflated due to its correlation with other regressors, providing interpretation guidelines for VIF values. Visit AxiomTutoring.com and subscribe to @AxiomTutoringCourses.