Re: st: impute with draws from random distribution

[D-Ta <altruist81@gmx.de>]

In fact, I jsut found that (Lechner, 1999, Journal of Business & 
Economic Statistics, p.78-79) suggested such an approach.

Best, Darjusch

Am 22.06.2011 14:13, schrieb D-Ta:
> i totally agree, it doesnt give any additional information. BUT, it
> would simply help me to readjust the outcomes compared between treatment
> and control group relative to the start-date of the programm.
> And to do this I need a hypothetical start-date for non-participants.
>
> How else could you estimate (e.g.) the treatment effect of training on
> (e.g.) the employment probability (e.g.) 2 month after training start?
>
> Thats what I am after.
>
> Thanks for your support
>
> Darjusch
>
> Am 22.06.2011 14:01, schrieb Maarten Buis:
> > On Wed, Jun 22, 2011 at 1:46 PM, D-Ta<altruist81@gmx.de> wrote:
> > > So, whats a valid comparison group then in your opinion, taking into
> > > account
> > > the timing of the training? Or should I neglect that information
> > > about the
> > > timing completing when matching?
> >
> > As you said yourself it is logically impossible to get someone with
> > the same timing of the intervention when one group did and another
> > group did not receive the intervention. So you cannot use that
> > variable to match.
> >
> > Look at this problem differently: What would you be matching on when
> > you imputed timing? Imputation does not create new information, it
> > just replicates the patterns that are present in the observed part of
> > the data. So imputing timing and than matching on imputed timing does
> > not add anything compared to just leaving timing out and match on the
> > variables you would have used to impute.
> >
> > 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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