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Re: st: clogit problem


From   SamL <saml@demog.berkeley.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: clogit problem
Date   Tue, 3 Sep 2002 07:29:23 -0700 (PDT)

What is t2-t30, a set of time dummies?  That may be the problem, I am not
sure.  Have you tried it without t2-t30?

Hope this helps.

A fellow berkeleyan.

Sam

On Mon, 2 Sep 2002, Laura Giuliano wrote:

> Dear Statalisters,
> 
> I am trying to estimate a fixed effects (conditional) logit model
> predicting the probability that a newly hired employee in a given
> establishment is white as a function of the hiring manager's race,
> conditional on the number of white hires in the establishment.  I have
> many observations (typically over 100) per store and many positive outcomes
> per establishment  (also many negative ones).  The race of the hiring
> manager changes in many, but not all, establishments.  There are about 1500
> establishments. 
> 
> After the first iteration, I get log likelihood = -8.988e+307, and stata
> stops and prints out an empty table (see output below).  
> 
> I have had some success running the same regression using smaller
> subsamples -- with fewer observations per store -- from the same data set.  
> 
> I'd greatly appreciate any explanations and/or suggestions.
> 
> Thanks very much!
> - Laura  Giuliano
> 
> . clogit white mblack mhisp masian mother t2-t30, group(store)
> 
> note: multiple positive outcomes within groups encountered.
> note: 114 groups (6827 obs) dropped due to all positive or
>       all negative outcomes.
> Iteration 0:   log likelihood = -8.988e+307
> 
> Conditional (fixed-effects) logistic regression   Number of obs   =     253398
>                                                   LR chi2(33)     =          .
> Log likelihood =          .                       Prob > chi2     =          .
> 
> ------------------------------------------------------------------------------
>        white |      Coef.   Std. Err.      z    P>|z|     [95% Conf. Interval]
> -------------+----------------------------------------------------------------
>       mblack |                     .        .       .            .           .
>        mhisp |                     .        .       .            .           .
>       masian |                     .        .       .            .           .
>       mother |                     .        .       .            .           .
>           t2 |                     .        .       .            .           .
>           t3 |                     .        .       .            .           .
> 
> etc.
> 
> 
> 
> ---------------------------------------------------
> Laura Giuliano                  
> Department of Economics         
> 549 Evans Hall, MC 3880
> University of California, Berkeley
> phone: (510) 526-9490
> email: giuliano@econ.berkeley.edu
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