Re: st: fixed effects on PCSE model

["joel miller" <joelstar90@hotmail.com>]

Thanks David, that�s good to know.

But, do you know what choice of models I do have when dealing with a small T 
and an N that is much larger than T? I am keen, from a theoretical point of 
view, to use a fixed effects approach, and I had read that Beck Katz model 
would be better for my situation than the Park model. Should I just be 
thinking OLS fixed effects?

Thanks,

Joel.



> From: David Greenberg <dg4@nyu.edu>
> Reply-To: statalist@hsphsun2.harvard.edu
> To: statalist@hsphsun2.harvard.edu
> Subject: Re: st: fixed effects on PCSE model
> Date: Mon, 27 Feb 2006 16:34:16 -0500
>
> Panel-corrected standard error estimation is called for when the number
> of time points is large, and the number of cases is small. That is not
> your circumstance, and themethod of analysis you have chosen is
> inappropriate. David Greenberg, Sociology Department, New York University.
>
> ----- Original Message -----
> From: joel miller <joelstar90@hotmail.com>
> Date: Monday, February 27, 2006 10:14 am
> Subject: st: fixed effects on PCSE model
>
> > I�m doing some TSCS modeling on police activity data that has 42
> > separate
> > police areas, and about 6 or 7 time points. I�m thinking that PSCE
> > models
> > are most appropriate here (though I�d welcome any comments or
> > detractions
> > from this). I�m also keen to try these models with unit fixed effects.
> >
> > My key question is, does Stata have a default commands to create
> > and include
> > dummy variables in the .xtpcse commands, or will I have to create
> > my own
> > dummies. In other Stata PCSE I know how to build in fixed effects,
> > but I
> > haven�t found syntax for this with the .xtpcse modelling procedure.
> >
> > Thanks,
> >
> > Professor Joel Miller
> > University of M�laga, Spain
> >
> >
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