Re: st: how to fill some gross wage missings if I have the net wage

["Laura R." <laura.roh@googlemail.com>]

Dear Maarten,

thank you very much. I had just done a scatterplot with both imputed
and not imputed values and the result is as you said - they are all on
the regression line.

I also found an example of -mi- with panel data on the internet, but
the missings to be imputed where from a variable that does not change
over time (sex), while gross wage can change over time. Second, I am
using the Stata version 10.1.

Would -ice- work for panel data aswell and if so, how?

Thanks for any suggestions.

Laura

2010/12/16 Maarten buis <maartenbuis@yahoo.co.uk>:
> --- On Thu, 16/12/10, Laura R. wrote:
>> I came up with the following solution: just make a
>> regression on gross wage with several independent
>> variables with the cases that report gross wage, and
>> then calculate the gross wage for the others using the
>> b coefficients and the independent variables. Would that
>> work as well?
>
> No, if you want to do imputation you'll have to do it
> right, i.e. do multiple imputation. What you propose would
> put all imputed observations on the regression line, i.e.
> you would overestimate the correlations and all subsequent
> statistics that depend on them. Moreover you are treating
> your imputations as real observations rather than results
> from a model. To do this right you must also take the
> imputation model uncertainty into account.
>
> In Stata 11.1 you can use panel data (-xt-) models with
> -mi estimate-, so the presence of panel data is not a
> reason to forgo multiple imputation.
>
> Hope this helps,
> Maarten
>
> --------------------------
> Maarten L. Buis
> Institut fuer Soziologie
> Universitaet Tuebingen
> Wilhelmstrasse 36
> 72074 Tuebingen
> Germany
>
> http://www.maartenbuis.nl
> --------------------------
>
>
>
>
>
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