Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
From | "Dimitriy V. Masterov" <dvmaster@gmail.com> |
To | Statalist <statalist@hsphsun2.harvard.edu> |
Subject | Re: st: IV and matching estimator |
Date | Wed, 9 Jan 2013 16:36:05 -0800 |
Ayman, I am not so sure. Lagged impressions for the same user are a function of the unobserved error, so including them is problematic since they are not exogenous (assuming the unobserved error is constant across time). The other IV you have in mind may not work either. A valid instrument needs to wiggle X (impressions) for reasons that have nothing to do with the error. Your clones see a lot of impressions for the same reasons you do: they are enthusiastic consumers. Think about this in the following way. We are interested in learning the effect of the seeing the trailer on going to see the Hobbit movie. I am very excited about this movie. I am going to see it anyway. I watch the trailer several times. You look at my friends, who are also nerds. They watch the trailer. You then predict that I also see the trailer since all my friends did as well. You use that prediction in the model. Does that allow you to identify the causal effect? Probably not so much. DVM * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/