Dear Statalisters,
I have the following issue I hope you can help me out with.
I'm using Stata 15.1
Multinomial Logistic Model with imputed data
398 regions of 15 years, thus 5,970 observations
I want to get the variance inflation factor (VIF)
mi estimate: mlogit CLUBS LFPR EMPL_AQ EAST URBAN GDPCIN GDPDENSA, base(1)
estat vif
However estat vif is not valid after mlogit, because it is not linear.
The second option I tried was with the ado - colling pkg
Which does not require regression results to determine the VIF (amongst other diagnostics)
collin LFPR EMPL_AQ EAST URBAN GDPCIN GDPDENSA
The problem I encountered here, was the number of observations increased to 68,058, which seems incorrect to me.
The collin doesn't work in combination with mi estimate and mi estimate, cmdok.
Is it possible to the VIF with multiple imputed variables with the correct number of observations or can I use the results from the estimated VIF with the large number of observations?
Thanks in advance
I have the following issue I hope you can help me out with.
I'm using Stata 15.1
Multinomial Logistic Model with imputed data
398 regions of 15 years, thus 5,970 observations
I want to get the variance inflation factor (VIF)
mi estimate: mlogit CLUBS LFPR EMPL_AQ EAST URBAN GDPCIN GDPDENSA, base(1)
estat vif
However estat vif is not valid after mlogit, because it is not linear.
The second option I tried was with the ado - colling pkg
Which does not require regression results to determine the VIF (amongst other diagnostics)
collin LFPR EMPL_AQ EAST URBAN GDPCIN GDPDENSA
The problem I encountered here, was the number of observations increased to 68,058, which seems incorrect to me.
The collin doesn't work in combination with mi estimate and mi estimate, cmdok.
Is it possible to the VIF with multiple imputed variables with the correct number of observations or can I use the results from the estimated VIF with the large number of observations?
Thanks in advance
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