<>
I'm not sure -nmissing- is the answer here, as this involves listwise deletion: any observation with a value missing in any variable in the regression will be dropped. Something like this will test for that:
sysuse auto,clear
replace turn = . if foreign & mod(_n,2)
replace weight = . if !foreign & !mod(_n,2)
nmissing price rep78 turn weight
g ts1 = rep78+turn
g ts2 = rep78+weight
g ts3 = turn+weight
g ts4 = rep78+turn+weight
g ts5 = length+displacement+gear_ratio
su ts*
The N reported by summarize is the number of cases that would enter the regression, given these regressors.
On Nov 18, 2009, at 2:33 AM, statalist-digest wrote:
> I'm using windows XP and stata 9.2. I'm running some econometric
> models and when I got the output I can see the number of observations
> that were used in the estimation.
> Since my database has several missing values for almost all variables
> I would like to know if there is some command-function that allow me
> to see which combination of variables will produce the regression with
> the highest avaialble number of non-missing observations.
Kit Baum | Boston College Economics & DIW Berlin | http://ideas.repec.org/e/pba1.html
An Introduction to Stata Programming | http://www.stata-press.com/books/isp.html
An Introduction to Modern Econometrics Using Stata | http://www.stata-press.com/books/imeus.html
*
* 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/
