Hi,
you might also want to check out "hotdeck" by david clayton. There is
also propensity score matching by Sascha Becker and Andrea Ichino.
. net search hotdeck
. net search Sascha Becker
Cheers,
-john.
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of
[email protected]
Sent: Wednesday, May 21, 2003 5:50 PM
To: [email protected]
Subject: st: Imputation of binary explanatory variable in probit model
Dear Statalisters,
I know this is not a Stata-question per se but I know of no better forum
to ask it to, so:
With item non-response in a probit model, is it "ok" to impute the
missing values of a binary explanatory variable with the mean? I
suspect it should be ok with a linear probability (OLS) model but am not
sure about the consequences in the probit framework (due to the
non-linearity, the imputed values will impact the other variables, also,
right?). I would be most grateful for any insights on this issue (and
imputation in general).
Cheers,
Niels-Hugo
~*~*~*~*~*~*~*~*~*~*~*~*~*~*~
Niels-Hugo Blunch
World Bank
HDNSP, MSN G7-703
1818 H Street, N.W.
Washington D.C. 20433, U.S.A.
Phone: (+1) 202 473 5599, Fax: (+1) 202 522 3252
Email: [email protected]
Social Protection on the Web: http://www.worldbank.org/sp
The Labor Markets Group in SP: http://www.worldbank.org/labormarkets
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
