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st: missing values & ice & categorical variables

From   Andrea Bennett <>
Subject   st: missing values & ice & categorical variables
Date   Tue, 3 Jun 2008 20:39:27 +0200

Dear Statalister,

Is this generally the right approach to deal with survey data?

1. get rid of missing values with package such as the "ice" command (first deciding which variables one wants to use)

2. generate dummy variables for categorical variables (such marital status or level of schooling)

3. perform the regression

There is no way of generating the dummies out of the categorical variables and then dealing with the missing values, right? At least not, if I would like to work with the "ice" command (I could though start by recoding the missing values as dummies, first, but this seems to lead to distribution issues, I think)?

Many thanks for the considerations,

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