Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
st: RE: Estimation selection model with selmlog/svyselmlog using sample weights
From
Nick Cox <[email protected]>
To
"'[email protected]'" <[email protected]>
Subject
st: RE: Estimation selection model with selmlog/svyselmlog using sample weights
Date
Thu, 24 Nov 2011 17:58:08 +0000
-bsample- has long been an official command, so I wouldn't expect to find a detailed digression on its use within the help for a user-written command. I don't know how to apply it to your problem.
The authors of the other -*selmlog- commands are probably not members of Statalist. Note that they didn't respond the first time you asked this.
Nick
[email protected]
David Wiesinger
i'm apologising for being so imprecise, it's my first time that i'm posting in this forum.
First i was estimating my selection model using the original "selmlog" (written by Bourguignon et al) command and i got a result. Unfortunatly i wasn't able to include my probability weights.
For that reason, i was trying to use "svyselmlog" ( i got it form the homepage http://fmwww.bc.edu/RePEc/bocode/s and it was written by R. E. De Hoyos).
with
version 8: svyset [pweight=Gewicht]
svyselmlog continuous choice, select( discrete choice), meth(dmf2) bootstrap(20) force
i got the error message
"PSU is equal to the number of observations, svybsamp2 is not necessary. Use -bsample-"
Unfortunatly i don't know, how to use -bsample-, becasue i couldn't find a hint in the help-file for svyselmlog.
Nevertheless i wanted to try out the procedure, so i created 2 random psu's and i rerun the model
version 8: svyset [pweight=Gewicht], psu(random_psu)
svyselmlog continuous choice, select( discrete choice), meth(dmf2) bootstrap(20) force
and i got an "conformability error" after some bootstrap steps. When the error occures, seems to be dependent on how many variables i put into the selection term and the used procedure. The less variables, the more steps can be calculated.
when i am estimating the first stage with svymlogit, the model converges and i get a result.
When i'm estimating the same model with selmlog, it works.
It is very likly, that i was making a stupid mistake, but for now i can't find it. How can i estimate the model with my weights only?
*
* 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/