Can you point out some cool/insightful applications of broadly Pearlian causality ideas to applied problems in, say, epidemiology or econometrics?
"Pearlian causality" is sort of like "Hawkingian physics." (Not to dismiss the amazing contributions of both Pearl and Hawking to their respective fields).
I am not sure what cool or insightful is for you. What seems cool to me is that proper analysis of causality and/or missing data (these two are related) in observational data in epidemiology is now more or less routine. The use of instrumental variables for getting causal effects is also routine in econometrics.
The very fact that people think about a causal effect as a formal ma...
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