Hi,
I am trying to run regressions on the Survey of Consumer Finances data, which consists of multiple imputed data (m=5), and estimate correct Standard Errors.
My problem: The data set does not contain the original un-imputed data row. Instead, m=0 in my data setis the first imputed data row (flong format). Unfortunately, when I register my variables, the MI command treats m=0 as if it was the originally un-imputed row of data, and as a result makes some small adjustments that change the data, because it believes that there are some inconsistencies with the data.
My questions:
1. Is it possible to somehow force the MI command to not make these adjustments and just analyze the data without the original un-imputed data row?
2. If Stata's MI command is unable to run regressions on multiply imputed data alone (without the original un-imputed data row), maybe there is another user-written command?
Thanks,
Lars
I am trying to run regressions on the Survey of Consumer Finances data, which consists of multiple imputed data (m=5), and estimate correct Standard Errors.
My problem: The data set does not contain the original un-imputed data row. Instead, m=0 in my data setis the first imputed data row (flong format). Unfortunately, when I register my variables, the MI command treats m=0 as if it was the originally un-imputed row of data, and as a result makes some small adjustments that change the data, because it believes that there are some inconsistencies with the data.
My questions:
1. Is it possible to somehow force the MI command to not make these adjustments and just analyze the data without the original un-imputed data row?
2. If Stata's MI command is unable to run regressions on multiply imputed data alone (without the original un-imputed data row), maybe there is another user-written command?
Thanks,
Lars
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