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Re: st: impute with draws from random distribution


From   D-Ta <altruist81@gmx.de>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: impute with draws from random distribution
Date   Wed, 22 Jun 2011 15:21:02 +0200

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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