Dear all,
I am using an unbalanced panel dataframe to run my analysis. The df is
based on a national survey and I know the reason why the df is unbalanced.
I tried to understand if plm package corrects for unbalanced panel, so that
I can use the plm package without problem.
I create a plm.data using the following code:
dd.p <- plm.data("id", "year")
and then run fixed effect regression, like this one:
fe1 <- plm(pens ~ woman + age + sqage + high + medium, model="within",
effect="individual", data=dd.p)
So is my approach correct? Does the plm actually correct for unbalanced
panel?
Instead if I need to balance the panel I'd use this code:
dd <- dd %>%
group_by(id) %>%
fileter(n()>2)
(the df is from 2010 to 2013, filtering only id present more than 2 times
would mean that I take only people present three times)
Thanks in advance
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