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From | Tinna Asgeirsdottir <statalist.tla@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | st: Imputation using ML for a lognormal ordered income variable |
Date | Sat, 17 Nov 2012 12:12:33 +0000 |
Dear Stata users, In my data I have income in 13 groups. The top group is open ended. I am trying to impute sensible values and would like to use this as a continuous variable. I am especially concerned about the top category. It has been suggested to me that I should use STATA´s ML command in stead of using each categories mid-point. I am having trouble finding what I need on the internet. Thus I wonder if anyone can tell me how to fit a lognormal distribution to the variable and subsequently infer the average income in the top bracket. If you know how to do this in general for all the categories that is great as well as the distributions over the other brackets is surely not uniform. However, I think finding a good solution for my top category is the most important thing though. Best regards, Tinna * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/