Vif Stata. Vif stands for variance inflation factor. A value of 1 indicates there is no correlation between a given explanatory variable and any other explanatory variables in the model.
Result of multicollinearity in stata using vif command here the mean vif is 28 29 implying that correlation is very high. As a rule of thumb a variable whose vif values are greater than 10 may merit further investigation. A value of 1 indicates there is no correlation between a given explanatory variable and any other explanatory variables in the model.
Post regression testing 5.
Result of multicollinearity in stata using vif command here the mean vif is 28 29 implying that correlation is very high. You can use the vif command after running a regression. Post regression testing 5. A general rule of thumb for interpreting vifs is as follows.
