Hey everyone,
for my bachelor thesis i am doing a logit regression. i have a panel dataset. the survey was conducted 5 times.
as i tried to do a fixed effects regression i realized that there isn't enough variation in y as almost all observations had to be dropped because of that. (only 30 out of 330 remained)
I am doing a random effects regression now.
Since i have to explain why i didn't choose the fixed model i want to illustrate it. i thought that generating a variable a=1 if the person changed his/her mind during the survey waves and a=0 if the person didn't change his/ her mind.
i have a unbalanced panel so it is possible that a person only answered 3/5 surveys but nontheless a=0 if the ansers are the same.
Any ideas?
Thank you!
Best Katharina
for my bachelor thesis i am doing a logit regression. i have a panel dataset. the survey was conducted 5 times.
as i tried to do a fixed effects regression i realized that there isn't enough variation in y as almost all observations had to be dropped because of that. (only 30 out of 330 remained)
I am doing a random effects regression now.
Since i have to explain why i didn't choose the fixed model i want to illustrate it. i thought that generating a variable a=1 if the person changed his/her mind during the survey waves and a=0 if the person didn't change his/ her mind.
i have a unbalanced panel so it is possible that a person only answered 3/5 surveys but nontheless a=0 if the ansers are the same.
Any ideas?
Thank you!
Best Katharina
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