python-causality-handbook
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Chapter 22 - What is Non-Parametric About?
The DGP in the example of the "What is Non-Parametric About" section assumes that the treatment is the discount and there's no other parameter.
Can you explain a bit more how we end up having different local linear treatment effects around a given treatment value? I would instead expect to have a local linear treatment effect around X.