Hi,
I am trying to run a linear regression with some time series variables. My explanatory variables are correlated probably because of which I am getting wrong signage on coffecients of certain variables. For example, for a regressor which is positively correlated with my dependant variable, I am getting a negative coefficient even though the regressor is significant. How can I control for multicollinearity without dropping any variable by checking VIFs?
Thanks,
Sreeja
Correlated Explanatory variables in time series
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sreeja.gupta
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startz
- Non-normality and collinearity are NOT problems!
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Re: Correlated Explanatory variables in time series
The whole point of a running a multiple regression is to separate out the signs of the coefficients from the simple correlations between variables. Multicollinearity does not bias the coefficients.
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