I am using the -robust cluster()- option with -logit- to address lack of independence of observations. My question has to do with how Stata performs the operation when an -if- statement is also included.
I have a dataset composed of subjects (id) that may have multiple observations. For each observation, the subject could have one of two levels of a certain characteristic (type = 0/1).
If I specify "logit outcome var2 if type==1, robust cluster(id)", would observations for a given subject where type==0 be included in the determination of the robust standard errors [per the -cluster(id) statement] or would the sample first be limited by the -if type==1- before any modeling is done?
In other words, does -if- supercede -cluster()- or visa versa? If this should be obvious, go easy on the caning and I'll keep reading!
Eric Hixson
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