Stata The Stata listserver
[Date Prev][Date Next][Thread Prev][Thread Next][Date index][Thread index]

Re: st: Fw: statalist-digest V4 #1543

From   Richard Williams <[email protected]>
To   [email protected]
Subject   Re: st: Fw: statalist-digest V4 #1543
Date   Sun, 07 Mar 2004 14:29:03 -0500

At 11:30 AM 3/7/2004 -0700, Arnold Levinson wrote:
One way to approach this problem is to investigate the magnitude of
influence of the complex-sample weights [pweight=varname] on model
coefficients. You can do this by running --logistic ..., robust
cluster[clusname]. (The robust/cluster option is needed only if you have
cluster-sampled data.) Run the model with and without [pweight], and compare
coefficients between weighted and unweighted models. If, as is often the
case, the two are close (no rule for "close", subjective judgment based on
the end-use of your model), you might consider using unweighted logistic
modeling to obtain an approximation of R^2.
I've never had to use the svy commands myself, but people who have tell me it hasn't made a whole lot of difference whether they do things the "right" way or the "wrong" way. Obviously, a few anecdotal cases do not constitute a proof, but I'd be curious to hear if this was fairly typical or if there were instances where using the svy commands made a clear and dramatic difference.

* For searches and help try:

© Copyright 1996–2024 StataCorp LLC   |   Terms of use   |   Privacy   |   Contact us   |   What's new   |   Site index