I a working with a student who's prof said in a memo "Note: when
creating new variables, missing values should be coded as some
arbitrary numerical value (e.g., 0) so that cases aren’t dropped in
the regression . You can also generate a missing flag for each
variable, coded 1 for missing and 0 otherwise, and then include the
flags in tandem with the variables for unbiased estimates." Is this a
valid method for dealing with missing data I've missed?
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