The basic idea of #SyntheticControl for #causalinference is actually really simple.

Find out more in my #pydataglobal talk tomorrow
https://global2022.pydata.org/cfp/talk/FQBSP8/

They basically do the same that I did. They estimate a #SyntheticControl based on binary treatment classification of areas from where tests were dispatched to #Immensa lab.

Its funny how their and my figures a year later are so similar.

It highlights: data access is a key barrier as they had slightly better data. But this was entirely avoidable.

In fact, I did launch a #FreedomOfInformation #FOI request last year to request the data that the #UKHSA team was using...

Now that FOI...

@WeinbergEcon ahah that's fair. Well I also put #syntheticControl, long but unmistakable. The query is not producing much! Maybe some appropriate tags can help. @paulgp @johnholbein @marcfbellemare 🖖

Alright tooter, here comes my first #EconTwitter question.

What is your favourite recent paper applying #SyntheticControl ?

I am currently reading Hansen & McNichols (2020) but am looking for more. Working on a synth project and want to see what's considered best practice in applied settings. Dw, I have the theory side covered!

#econometrics #synth