Hello,
I am using STATA 14, an the synth package for conducting the synthetic control by Jens Hainmueller: https://web.stanford.edu/~jhain/synthpage.html
I am trying to conduct an "in Space" placebo test, and have followed STATALIST user Michael Jankowski's guide, which can be found: https://www.statalist.org/forums/for...control-method
As I have understood, this method calculates the difference between the actual unit and the synthetic control unit. If the graph is around zero, it means that the synthetic and the actual unit basically is the same. As you can see from "Synthetic Control France", it has a quite good fit. However, the plaebo graph seems to be different than the France graph (Orange is representing the difference between actual France and the synthetic control). Am I doing something wrong here? I tried to to the exact same thing with Abadie and Hainmuellers "smoking" dataset, and looks good compared to their synthetic control.
Not sure if I'm clear enough, but I hope you'll understand my question.
Cheers
I am using STATA 14, an the synth package for conducting the synthetic control by Jens Hainmueller: https://web.stanford.edu/~jhain/synthpage.html
I am trying to conduct an "in Space" placebo test, and have followed STATALIST user Michael Jankowski's guide, which can be found: https://www.statalist.org/forums/for...control-method
As I have understood, this method calculates the difference between the actual unit and the synthetic control unit. If the graph is around zero, it means that the synthetic and the actual unit basically is the same. As you can see from "Synthetic Control France", it has a quite good fit. However, the plaebo graph seems to be different than the France graph (Orange is representing the difference between actual France and the synthetic control). Am I doing something wrong here? I tried to to the exact same thing with Abadie and Hainmuellers "smoking" dataset, and looks good compared to their synthetic control.
Not sure if I'm clear enough, but I hope you'll understand my question.
Cheers
Comment