Variance Inflation Factor (VIF) is a statistical measure that quantifies the severity of multicollinearity in an econometric model. Specifically, it assesses how much the variance of an estimated regression coefficient increases because of collinearity. In simpler terms, VIF tells us how much one predictor variable in a model is correlated with other predictor variables.