They are not rare. I am familiar with the relogit stuff.
On Tue, 7 Mar 2006, Clive Nicholas wrote:
> Michael Horowitz:
>
> > I have a paper where I am examining the impact of democracy on crisis
> > behavior. I need to estimate a fixed effects or conditional logit model
> > but I am not sure how.
> >
> > The data is set up dyadically, meaning each observation has data on the
> > crisis and data for state A in the crisis and state B in the crisis
> >
> > Here is the functional form of the logistic regression I have run
> >
> > logit DV democstateA democstateB control1 control2 control3 control4
> >
> > I need to estimate a fixed effects model to control for the impact of
> > specific countries. I know that I need to use conditional logit to
> > control for unmeasured heterogeneity.
> >
> > But I am not sure how to do it. Specifically, in the clogit setup, it
> > should look like:
> >
> > clogit DV democstateA democstateB control1 control2 control3 control4,
> > group(????).
> >
> > What I am unclear about is what goes in the parentheses. If anyone could
> > assist, I would very much appreciate it. I apologize for asking such a
> > basic question.
>
> Stepping aside from -clogit-, are your events rare or not? If they are,
> then you may want to consider Gary King and Langche Zeng's -relogit- which
> you can download by going to
>
> net from http://gking.harvard.edu/files/relogit.zip
>
> Hope that helps.
>
> CLIVE NICHOLAS |t: 0(044)7903 397793
> Politics |e: [email protected]
> Newcastle University |http://www.ncl.ac.uk/geps
>
> Whereever you go and whatever you do, just remember this. No matter how
> many like you, admire you, love you or adore you, the number of people
> turning up to your funeral will be largely determined by local weather
> conditions.
>
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