Vif Regression Stata. As a rule of thumb a variable whose VIF values are greater than 10 may merit further investigation. Including age structure of the population PopAge0_14 A.
Statas regression postestiomation section of R suggests this option for detecting collinearity of regressors with the constant. In the documentation I found the following. Tolerance defined as 1VIF is used by many researchers to check on the degree of collinearity.
In particular the variance inflation factor for the jth predictor is.
Hi Statalisters It appears as if the VIF command does not work after running an ordered logistic regression model -ologit- command. Before analyzing any set of variables in a linear model including logistic regression begin by check for multicollinearity by using linear regression to check the model Y B0 B1X1 B2X2 B3X. It is a good indicator in linear regression. A First Regression Analysis Simple Linear Regression Multiple Regression Transforming Variables Regression Diagnostics.
