Hello Statalist,
I have a general question about multiple imputations method in Stata.
There are multiple variables with missing data for my analysis, and I want to use MI. The problem is that a certain group of participants did not answer a particular question by design. As a result, the variable is missing for that group. In detail, the question was for anyone who had a child/children at the time of the survey, so those who did not have a child at the time of the survey did not answer the question at all.
I am not sure how to use MI for this variable. This is an important variable in the model, so I cannot exclude it.
One way might be to assign a certain value to those participants (e.g., -9) and treat it like non-missing then do MI. But I am not sure if this would create bias or not.
I would appreciate any advice on this issue.
Thank you.
Related Posts with Multiple imputation when there is a certain group that did not answer a certain question
Conditional scatterplot (partial regression plot) for a quadratic relationshipDear Statalist members, I would like to plot a conditional (i.e. partial) relationship whose true f…
Seemingly Unrelated Regression with endogenous variablesCan I use Seemingly Unrelated Regression for system of equations in which I have an institutions var…
In which parentheses (gmmstyle() or ivstyle()) should I insert my explanatory variables? Hi. I'm estimating a regression between municipal GDP per capita - as a dependent variable - and mu…
Graph: text not centered within textboxTwo times I am trying to write text within a textbox into a graph. However, although the commands fo…
How to count the number of variables in multiple locals and meanwhile to compute the mean value of each group using for loop in Stata?As the title suggested, I would like to count the number of variables in multiple locals and meanwhi…
Subscribe to:
Post Comments (Atom)
0 Response to Multiple imputation when there is a certain group that did not answer a certain question
Post a Comment