Dear all,
When running the sdid (Synthetic DiD) command in Stata with multiple treated units (at one point in time) and specifying the method to be synthetic control method; method(sc), Stata simply averages the outcome variable for all treated units it seems. On stata it states that the command is build on Abadie et al., (2010), however, in their paper they write that "The synthetic control framework can easily accommodate estimation with multiple treated units by fitting separate synthetic controls for each of the treated units".
My question is, therefore, what does the method actually do with multiple treated units? And where can I see how it mathematically differs from the case of a single adopted treatment? - also for the sdid case?
Best,
Emil
When running the sdid (Synthetic DiD) command in Stata with multiple treated units (at one point in time) and specifying the method to be synthetic control method; method(sc), Stata simply averages the outcome variable for all treated units it seems. On stata it states that the command is build on Abadie et al., (2010), however, in their paper they write that "The synthetic control framework can easily accommodate estimation with multiple treated units by fitting separate synthetic controls for each of the treated units".
My question is, therefore, what does the method actually do with multiple treated units? And where can I see how it mathematically differs from the case of a single adopted treatment? - also for the sdid case?
Best,
Emil
