Hello,
I am confused about a simple issue: Imagine a cross-sectional dataset with plenty of ids.
If including a control variable in a regression when this control variable has more missings (less observations) than the dependent variable, will the observations about one id (i.e. the observations of the dependent and other variables) then be dropped, too, because the control variable is missing?
In other words, will I lose information about the remaining variables because of a scarce control variable?

I tried to figure this out myself and noticed the number of observations decreases the same amount like I simulated missings, so this should mean nothing else will be dropped, right?

Would greatly appreciate advice. Thank you!
Rebecca