GitHub - mamingsuper/Causal-inference-with-econometrics-and-ML: I discuss obtaining the reduced form and causal inference in traditional form and machine learning. Treatment effects with machine learning was proposed by Tibshirani, Athey, Friedberg et al. (2019). I also discuss some possible links between structural and machine learning models.

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I discuss obtaining the reduced form and causal inference in traditional form and machine learning. Treatment effects with machine learning was proposed by Tibshirani, Athey, Friedberg et al. (2019). I also discuss some possible links between structural and machine learning models.

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Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
BreakDown		BreakDown
Causal_impact_of_a_change.R		Causal_impact_of_a_change.R
SHAPforxgboost		SHAPforxgboost
SHAPforxgboost2		SHAPforxgboost2
Shapley_details.R		Shapley_details.R
causal-forests.R		causal-forests.R