AW: st: xtprobit clustered standard errors or gllamm

["Petra Nieken" <petra.nieken@uni-bonn.de>]

Dear Gordon,

thank you so much for your help. However, vce(bootstrap) does not allow me
to declare a cluster when using xtprobit. Do you think gllamm would be a
better solution?

Kind regards,

Petra

-----Ursprüngliche Nachricht-----
Von: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Gordon Hughes
Gesendet: Donnerstag, 23. August 2012 15:52
An: statalist@hsphsun2.harvard.edu
Betreff: Re: st: xtprobit clustered standard errors or gllamm

-xtprobit- does not offer the vce(robust) or vce(cluster) options.  This is
unusual for a Stata xt... procedure and you might take that up with Stata
Corp.  However, for practical purposes the
vce(bootstrap) option should be a perfectly satisfactory alternative
provided that you declare an appropriate cluster() variable in the vce
specification.  Use a much larger number of replications than the default -
Cameron & Trivedi recommend at least 400.  For further details, see Colin
Cameron & Pravin Trivedi (2010), Microeconometrics Using Stata, College
Station: Stata Press.

Gordon Hughes
g.a.hughes@ed.ac.uk

============================

Dear all,

I use Stata 11 SE and I am looking for a way to estimate a xtprobit model
with clustered standard errors.

I have data from 180 subjects who are divided into 60 independent groups but
the subjects within one group interact with each other. The dataset contains
five periods but each subject occurs only two or three times within the five
periods.
My dependent variable is binary and a referee has asked for a random effects
probit model with clustered standard errors on group level to control for
individual subject effects, time and  the potential correlation of errors
within a group.


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