Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down on April 23, and its replacement, statalist.org is already up and running.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

[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
njcoxstata@gmail.com

On 4 June 2013 12:59, Kamyar Baradaran <kamyar.baradaran@gmail.com> 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
<kamyar.baradaran@gmail.com> 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.
*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/faqs/resources/statalist-faq/
*   http://www.ats.ucla.edu/stat/stata/


© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index