This issue is an adequate match. The extent to which they cannot be derived from a single CEM run should be irrelevant if the purpose is to generate the best match. Matching does not solve statistical problems it merely helps strengthen the arguments that the treatment is the difference between the groups.

Sent from my iPad

> On Apr 29, 2015, at 9:14 AM, pureum kim <pureum.kim@usc.edu> wrote:
>
> Dear CEM List members,
>
> I have about 45 treatment firms and I am trying to create a control sample. Using that control
>
> sample, we plan to collect additional information about the firm, which would take some time and
>
> effort. I was wondering if I could use different CEM specifications for each treatment firm to get the
>
> most accurate control firms.
>
> The issue is that for some treatment firms, I get a huge strata, on the other
>
> hand, for other groups I have two control firms. I was wondering if I could use a more stringent
>
> matching criteria for those treatment firms with large number of control firms and a less stringent
>
> matching criteria for those that have a low number of control firms.
>
> My concern is how would I run a regression later because the weights are derived from different
>
> matching specifications. Or does it matter?
>
> Thank you for your time and consideration.
>
> Kind Regards,
>
>
> Pureum Kim
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