Well, sorry, I thought I am, because I want to know whether being above the median is
followed by being above the median and that is binary (i.e. an LDV), isn't it?
Jan
-----Ursprüngliche Nachricht-----
Von: Plus.line MailSystem [mailto:cyrus@mailer.plusline.de] Im Auftrag von Sven Schreiber
Gesendet: Freitag, 17. Oktober 2014 12:34
An: gretl-users(a)lists.wfu.edu
Betreff: Re: [Gretl-users] Is there a possibility to estimate a dynamic panel probit model
in gretl?
Am 17.10.2014 um 12:28 schrieb Jan Tille:
Dear Peter, dear Jack,
please forgive me to cause you so much inconvenience while trying to
help me.
Unfortunately I think, that your functions, might probably not work
for my model/problem. The reason why I think this might be is that I
have seen in the gretl documentation, that "dpanel" requires the
definition of the lag p. Well basically, my lag is p=1, so far so
good.
However, the problem lies in my data. Please let me explain (though it
is not directly related to gretl, but more general) my problem.
I am trying to estimate whether an individual whose variable of
interest is above the sample median (y>=median => y*=1, else 0) in
period t has a significantly positive probability to repeat being
above the sample median in t+1 (p=1), "conditional" upon the
individuals that were already in my sample in period t.
Going forward in time, more and more individuals enter the sample
(i.e. an unbalanced panel). However, this means, while an individual
might be above the median in period t+1, "conditional" on upon the
individuals exisiting in period t, it might as well be below the
median in the new period t, when the new individuals entered the
sample.
I don't know if that is clear, maybe an stylized example brings more
clarity.
I haven't read this thoroughly (sorry), but at first glance it sounds as if you
aren't really in the probit model framework. If that's true it's not a data
problem but a conceptual one, and no dynamic panel probit package (existing or
forthcoming) would help you.
good luck anyway,
sven
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