Answer by Noah for Why isn't causal inference a simple specialized regression...
You say that causal inference is just a regression problem, and you present one estimator of a causal effect. But on what grounds can you claim that effect as causal? Is that the only way you can...
View ArticleAnswer by dcneuro for Why isn't causal inference a simple specialized...
The other answers discuss how your specific suggestion may fail, but I think some higher level comments may help. In general, to discover causal relations we need to intervene.A classic example is the...
View ArticleAnswer by Björn for Why isn't causal inference a simple specialized...
A real-life example for how you run into problems: People with prior heart attacks take various drugs like beta blockers. The more severe the patient state, the more like it is that they are prescribed...
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Answer by Adrian Keister for Why isn't causal inference a simple specialized...
Your procedure would need to have some caveats with it, depending on the nature of the causal relationships present.Case 1: a confounder. Examine this causal diagram:Here $Z$ sets up a backdoor path...
View ArticleWhy isn't causal inference a simple specialized regression problem?
I am often told that the crucial difficulty in causal inference is that we only observe one value between $Y(1)$ and $Y(0)$ while we want to estimate $E[Y(1) - Y(0)]$. There is always an unobserved...
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