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From | Shikha Sinha <shikha.sinha414@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: MI: Multiple Imputation |
Date | Mon, 20 Dec 2010 13:31:03 -0500 |
Hi, I am using -mi for imputing the missing values. The variable is "edu" has five categories (1=primary, 2=secondary, and so on...). I used the following command: mi register imputed edu mi register regular age gender country set seed 23456 mi impute mvn edu = i.gender age country, add (5) mi estimate, or: logistic Y X1 X2 edu After imputation, five new variables are generated, such as , _1_edu, _2_edu, _3_edu, ....... Now, I have following questions: (a) Why some observations have negative values for _1_edu, _2_edu, _3_edu, ........ Negative values for education doesnot make sense. How to restrict this so that there is no negative values. (b) How do we use the five new generated variable? Can I just run logistic Y X1 X2 _1_edu or logistic Y X1 X2 _2_edu (c) Can I create a dummy for primary or secondary schooling from the imputed values _1_edu? Thanks, Shikha * * 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/