Bookmark and Share

Notice: On March 31, it was announced that Statalist is moving from an email list to a forum. The old list will shut down on April 23, and its replacement, statalist.org is already up and running.


[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

st: Simultaneously accounting for clustering at two different levels with vce(cluster) option


From   Lily Yor <lilyyor1@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   st: Simultaneously accounting for clustering at two different levels with vce(cluster) option
Date   Tue, 9 Mar 2010 11:40:49 -0800

Hi, I have data that is clustered at two different levels -- i.e., I have
data at classroom level and at school level.  I need to account for these
two sets of intraclass clustering, but the clusters at each level are too
few to run a formal multi-level model (for example, there are only 8 schools
in my data).  Thus, I would like to run a logistic regression model (my
dependent variable is binary -- whether a student has passed a certain test
or not) and adjust the standard errors by using vce(cluster) option, but
there doesn't seem to be a way to simultaneously, in a single model, account
for clustering at both levels (i.e., classroom level and school level).

The way I have approached this problem thusfar is to run the logistic
regression model with vce(cluster) option applied to account for classroom
clustering, and then include school dummies in the same model, but this does
not seem to be a satisfactory solution:

 logit [dep var] [ind_var1] [ind_var2] [ind_var3] [school2] [school3]
[school4] [school5] [school6] [school7] [school8], vce(cluster classroom_id)

If you have any tips and suggestions on how I could use the vce(cluster)
option to account for both classroom and school clustering, I would very
much appreciate your help.

Thank you so much.

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/


© Copyright 1996–2014 StataCorp LP   |   Terms of use   |   Privacy   |   Contact us   |   Site index