With survey models, logit has a pseudo-r^2, but even that is of little use,
other than to compare different models on the same data for a RELATIVE
goodness of fit. About the best approach is a table of some type based on
predicted values. See for example Korn, E. and Graubard B. "Analysis of
Health Surveys" pages 106-108. Available in the Stata bookstore, I believe.
Bryan Sayer
Statistician, SSS Inc.
[email protected]
-----Original Message-----
From: joachim Wagner [mailto:[email protected]]
Sent: Wednesday, October 16, 2002 2:21 AM
To: [email protected]
Subject: st: goodness-of-fit measure for svyprobit
Dear All:
A referee asks for a goodness-of-fit measure for a model I estimated with
svyprobit. Maybe because svyprobit is not a "true" ML estimator I cannot
find such a number in the output. Although I do not see what we can learn
from such a measure I do not want to struggle with the referee. Can
somebody out there help me finding a solution? Many thanks in advance.
Joachim
Prof. Dr. Joachim Wagner
University of Lueneburg
Institute of Economics
Campus 4.210
D-21332 Lueneburg
Germany
Phone: +49-4131-78-2330
Fax: +49-4131-78-2026
homepage: www.uni-lueneburg.de/fb2/vlw/wifo
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