# Interpreting / Understanding VIF in ridge regression

I used ridge regression in order to dealing with multicollinearity but there is something that i do not understand. I used Stata command:

- ridgereg y x1 x2 x3 x4 x5 x6 x7 x8 x9, model(orr|grr1|grr2|grr3) diag lmcol-


in addition in orr model i used many different values for $\lambda$. The problem is that: when I run the above model and checked VIF it had the same value for all variables for all different models and for all different values of $\lambda$. Is it possible? Does it make any sense? Does it mean that my model suffers very seriously of multicollinearity?

• @Jeremy Just noticed your edit. Why did you format the command as a bullet list entry instead of the usual code sample block? Also, the title of this Q is horribly misleading, why not writing an informative title if you decide to edit this old question anyway. – amoeba Jan 4 '17 at 9:20
• Oops. Bullet was an accident. I will change title (I should have, but capitalization of Stata annoyed me so I jumped in and changed that). – Jeremy Miles Jan 4 '17 at 16:09