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matheusfacure / python-causality-handbook

Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
https://matheusfacure.github.io/python-causality-handbook/landing-page.html
MIT License
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Issue on page /01-Introduction-To-Causality.html #391

Open tacla opened 2 months ago

tacla commented 2 months ago

After the following "...and we have that the causal impact on the treated is the same as in the untreated (because they are very similar)":

Capturar

I do not understand why you write E[Y|T=0] since we don't have E[Y1|T=0] in the above lines.

dwanev commented 3 weeks ago

I think the author is saying these lines are all equal. The second term of the of the last 2 lines is saying "the expected value of Y given they did not get the treatment", it is just the notation that is changing.