Hello,
I am running a fixed effects model on an unbalanced dataset. I cannot reject the null hypothesis that all ui = 0 . I know that this indicates that the pooled OLS is better to analyse the data with the help of this forum. However, I am wondering what the consequences are for the fixed effects model. Can I still interpret these coefficients or are they biased? Or does the fixed effects model tends to be less significant?
Kind regards,
Timea De Wispelaere
0 Response to F test xtreg, fe indicates pooled OLS is better. What are the consequences for fe?
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