Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: st: Re: XTGEE or XTLOGIT with rare events
From
Nick Cox <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: Re: XTGEE or XTLOGIT with rare events
Date
Tue, 4 Jun 2013 14:14:00 +0100
My main purpose was to get you to sharpen up your question and now
others who are expert in this territory may find it a bit easier to
say something useful. But there remains some fuzziness over what kinds
of comments you think we can deliver.
"[A]re the results reliable and is it justified to use these models?"
An oracular "Yes" or "No" is presumably not what you are expecting
here. I think you would have to post some results for people who have
used these models to comment.
The probability of rare events is just what it is; you only need
-summarize- for that, apart from sampling issues.
Nick
[email protected]
On 4 June 2013 14:03, Kamyar Baradaran <[email protected]> wrote:
> Thank you very much Nick, sorry for not clearly explaining my issue.
>
> the issue is as Gary King and Langche Zeng discuss, "most popular
> statistical procedures, such as logistic regression, can sharply
> underestimate the probability of rare events". I have used -xtlogit-
> and -xtgee-, my models converge and I do not have any problem, but are
> the results reliable and is it justified to use these models?
>
> As per the selection layer here is the logic: we first model the
> probability of an event (a 1 in the dependent variable), and then
> conditional on that, estimate the effects of interest on occurrence of
> an event. I am just a student and trying to learn and I hope this
> makes sense. If it makes sense, is there anyway to do it in Stata with
> longitudinal data?
From Nick Cox <[email protected]>
> 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.
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?
*
* 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/