Hi everyone,
I am currently analyzing how introduction of fees affect the likelihood to enter university. I'm working with panel data and my dependent variable is: University=1 otherwise=0. But I have some doubts that this is the right coding, since some graduate from university before the observation period ends and so the get a 0 again. But this would imply that they do not enter University...
My equation looks as follows: EnterUniversity= const+ a1* treatment+a2*After+ a3*after*treatment+a4*x
X contain further personal characteristics, as gender and parental education. And I am using a Logit Model.
Do you have some hints for me how I can model this causation?
Thank you in advance!
BR
I am currently analyzing how introduction of fees affect the likelihood to enter university. I'm working with panel data and my dependent variable is: University=1 otherwise=0. But I have some doubts that this is the right coding, since some graduate from university before the observation period ends and so the get a 0 again. But this would imply that they do not enter University...
My equation looks as follows: EnterUniversity= const+ a1* treatment+a2*After+ a3*after*treatment+a4*x
X contain further personal characteristics, as gender and parental education. And I am using a Logit Model.
Do you have some hints for me how I can model this causation?
Thank you in advance!
BR
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