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Re: st: how to handle missing observations in a regression model
At 03:32 AM 9/5/2006, Simo Hansen wrote:
Did you also do something like assign the mean to the missing cases
on dadeduc and moteduc? If not, all the missing cases are still
getting dropped, and dadeduc and moteduc then get dropped because
they always equal 0 (non-missing) for the cases being analyzed.
I am using moter's years of schooling and father's years of schooling as
explanatory variables in my regression model. I also creata a dummy
indicators for whether mother's and father's years of schooling are missing,
When I run the following regression:
reg childedyrs dadeduc moteduc misdaded mismoted,
Stata drops two dummy indicators for whether parents' schooling is missing.
Do you have any suggestion on how I can properly control for whether
mother's and father's years of schooling are missing in my regression model.
The technique that I think you are using is discussed (along with
Stata commands) on pp. 5-6 & 10-12 of the following handout:
HOWEVER, note that the approach, while once popular, has come to be
discredited; as Allison points out in his Sage book "Missing Data",
"the method generally produces biased estimates of the coefficients."
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
WWW (personal): http://www.nd.edu/~rwilliam
WWW (department): http://www.nd.edu/~soc
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