I have just 4 years pre intervention data while almost 15 years is available for post intervention....is it feasible to go with the SCM with this kind of data?
This presentation is invaluable! I find it really helpful, it is comprehensive and explained in simplest way possible! I really appreciate that, thank you!
Sure seems like a lot of smoke and mirrors nonsense. You cant really compare cities on crime. Too many variables. Even the FBI UCR notes this. The presumption that locations are comparable is an underlying fault in all of this. And it also presumes that the original data is accurate and often times it is not.
4:50 The flow chart about evolution of synthetic control method is great, better to have some author's information for paper after 2010.
I have just 4 years pre intervention data while almost 15 years is available for post intervention....is it feasible to go with the SCM with this kind of data?
Brilliant!
This presentation was my first on the subject matter and it really was straightforward, I actually understood the material presented.
This presentation is invaluable! I find it really helpful, it is comprehensive and explained in simplest way possible! I really appreciate that, thank you!
Great talk thank you!
Awesome. I wish him talking more about the coporation between interrupted time series analysis and synthetic control method
clear, concise and comprehensive enough for beginner! thanks a lot
Very nice presentation. Thanks to the speaker
Great talk, thanks
Hi, I really enjoyed your video. Please can you share your slides with me?
Sure seems like a lot of smoke and mirrors nonsense. You cant really compare cities on crime. Too many variables. Even the FBI UCR notes this. The presumption that locations are comparable is an underlying fault in all of this. And it also presumes that the original data is accurate and often times it is not.