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Say that we have a cross-sectional dataset with two variables, A and B.

Also suppose that A and B are related to each other in some way. Now, there are some rows for which only A is missing, and some for which only B is missing. There are no rows for which both A and B are missing.

Now say that I want to impute these missing values by just taking the average of A and the average of B.

Would this be problematic, given that A and B are related to each other?

Andrew
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  • imputing the missing values by taking the average of those variables is problematic for a billion reasons, but you have indeed landed on one of them – John Madden May 02 '23 at 20:39

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