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[no subject]
What is the "issue" you have precisely?
You cannot apply programs that do not exist, but have you tried using
-xtlogit- or -xtgee-?
In broad terms, the rarity of events tends to mean that models are
more difficult to fit, but not necessarily impossible. I wasn't aware
that adding a selection layer made anything easier.
By -relogit- you perhaps meant to refer to
http://gking.harvard.edu/relogit
Without knowing anything personally, it seems a fair guess that that
Stata program is not going to be developed further by that group.
Nick
[email protected]
On 4 June 2013 12:59, Kamyar Baradaran <[email protected]> wrote:
> I have a rare binary dependent variable (most of the time zero and
> rarely 1). My dataset is longitudinal and to my knowledge "relogit"
> and "heckman" selection models are not yet developed for longitudinal
> (Am I correct?). Could you please advice me how to deal with this
> issue?
On Tue, Jun 4, 2013 at 1:59 PM, Kamyar Baradaran
<[email protected]> wrote:
> Dear All,
>
> I have a rare binary dependent variable (most of the time zero and
> rarely 1). My dataset is longitudinal and to my knowledge "relogit"
> and "heckman" selection models are not yet developed for longitudinal
> (Am I correct?). Could you please advice me how to deal with this
> issue?
>
> Thank you.
> Best,
> K.
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