How to detect multicollinerity in data using Stata

[@leahrowe2571]

I'm taking a course all about Stata and let me tell you sir you have helped me pass my class more than once. God bless you sir because you are a way better teacher in such a short amount of time getting your point across so simply, thank you thank and thank you.

[@dxluva]

short, sweet and to the point. Just what I was looking for.
cheers!

[@SarveshwarInani]

Thanks!

[@briankirby4334]

Thanks for your clear and concise video on multicollinearity, unfortunately my econometrics lecturer isn't very good so this is a great help !

[@MJAIELTSPrepJourney]

Before every exam I'm here, thank you :(

[@ayushkumar-hx5lh]

Wah sir! Nice to hear your voice again!

[@FELIX-qr6vd]

The Hausman Test tells me to use the fixed effect model, but when I use it, STATA omits my dummy variables in the result. "Omitted because of collinearity" What can I do now?

[@vinitayellanawer9973]

Sir, I am doing tye Multicollinearity for bmi variables being index, weight gender and hight. When i run an equation it shows error for gender. When I cut it, hight and weight comes no Multicollinear. What do I do? I need to show Multicollinearity first and then remove it

[@AmeenKhan-ls6mw]

really i like your channel... you explain thing clear. thanks

[@SarveshwarInani]

Thanks for the compliment

[@martinandersen4280]

If the average VIF is greater than 1 the regression may be biased (Bowerman & O'Connell: 1990). I have heard that the largest value of VIF should not be above ten but what about the average VIF in a model? Also tolerance below 0.2 is a potential problem (ibid.) The tolerance statistic is 1/VIF. So maybe your model is still biased even though there is no VIF above 10?

[@petermellema6022]

Thank you sir friend

[@economiclibya5069]

How to avoid collinearity in my dummy variables in Panel data using stata?

[@VaishnaviBPHD-dn2lr]

Thanks sir

[@fabiankreutzer3516]

Thank you! Is the. data avaiable?

[@nurlyanayuen9346]

Hi sir. What should I do if VIF is about 150?

[@thiardenghi1]

Very good video! congrats

[@SarveshwarInani]

Thanks a lot!

[@rifatraby1621]

What will I do ,If my data more than 8 dummy variable ?

[@mohammadshahidulislam403]

it would be better if you use data where multicollinearity exists.

[@loubnazebiri7001]

Hi, Thanks alot for the video, i just want to know why the VIFs should be lower than 10 otherwise there's multicollinearity.

[@m.walidhemat6319]

if suppose vif is 10 or greater, 1/vif is smaller than 0.1 which reject the H0 of no multicolinearity

[@mikemarshall5167]

The appropriate VIF score also depends on your field. Economists often use a VIF score of

[@rajasingh4144]

How we can remove the collinearity on stata