Hi everyone,
I am would like to run a logit model on my panel data (attached) with a limited variable as dependent one (here the Gini_Index) and several independent variables (e.g. GDP growth, schooling years, inflation and FC dummy). However, the Gini_index is not a discrete variables, it's values can lie between 0 and 1. Since it is a limited variable I thought the Logit model is more appropriate as a standard LS regression.
When I try to run the binary method it always shows the error that there are not enough oberservations (to many missing or non 0-1).
Any help or advice is appreciated.
Mtahias
Logit on panel data
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Logit on panel data
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- EviewstestV7.xlsx
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startz
- Non-normality and collinearity are NOT problems!
- Posts: 3798
- Joined: Wed Sep 17, 2008 2:25 pm
Re: Logit on panel data
Logit refers to a model where the lhs variable is zero or one, so it's not what you want.
Re: Logit on panel data
thank you startz,
However, it was the only method I could came up with when considering that I have a limited dependent variable. Do you have any other suggestion how to account for such variables?
However, it was the only method I could came up with when considering that I have a limited dependent variable. Do you have any other suggestion how to account for such variables?
-
startz
- Non-normality and collinearity are NOT problems!
- Posts: 3798
- Joined: Wed Sep 17, 2008 2:25 pm
Re: Logit on panel data
You might try using
as your dependent variable
Code: Select all
log(Gini_Index/(1-Gini_Index))
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