Re: st: IV and matching estimator

["Dimitriy V. Masterov" <dvmaster@gmail.com>]

Ayman,

If I understand your problem, you have selection on unobservables.
People who are enthusiastic consumers are likely to both see lots of
advertisements as they are browsing and are also likely to buy or
convert. Presumably, this creates a positive correlation between the
error term and the impressions variable, so you get biased results
with OLS.

Unfortunately, propensity score matching will only deal with the
selection on observables problem, so I don't think this sort of
approach will work.

DVM

On Tue, Jan 8, 2013 at 7:23 PM, Ayman Farahat <ayman.farahat@yahoo.com> wrote:
>  am interested in evaluating the marginal effect of seeing an advertising impression on conversion (binary).
> However, because of activity bias , the number of impression seen is correlated with the unobserved error and are therefore exogenous.
>
> I was thinking about using an IV to get around this problem. The instruments that I have are number of impressions of similar users on that day.
> That seems very much like a matching estimator.
>
> Is this possible? Is there a way of doing this in Stata?
> Best
> Ayman
>
>
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