Thank you for your help.
That's an interesting point, I haven't thought about that.
Altough I would find it strange that I get a model, where just some
observations are missing, if the problem is due to invalid variable names.
That's the first thing I will try to change.
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Hello,
I have posted this problem before, but thought I try to explain it a bit
better.
I'm using the function plm to create a fixed effects model for panel data,
my method is therefor "within" my effect is "twoways".
My Data contains unbalanced Panels due to missing Values, but contains 309
obser
Hello,
I'm writing my Bachelor Thesis and I'm using the package plm for a
panelregression with fixed effects (individual and time).
My Dataset contains 11 variables (including the response) and has 486
observations of these.
In the observation I have missing values, which don't make a problem. If
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