Causal Inference: Selection on Observables (Part 5)
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Causal Inference: Selection on Observables (Part 5)
9 просмотров · 2 недели назад
ZhaoyiCJournal
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9 просмотров · 2 недели назад
I finish the proofs of the average treatment effect, propensity score and IPW in this video. In addition, I shortly discuss the "Doubly Robust Estimator". At last I make a summary of this topic. My suggestion is that you can focus on the methods of the proofs and pick the one section you want to watch.
00:00 Intro
01:21 Proof of the ATE/ATET
11:24 Theorem: Propensity Score and Balancing Property
21:10 Theorem: Inverse Propensity Score
26:54 Short Preview of Doubly Robust
28:00 Key Takeaways
Here I list the references you will probably need, these are bibtex and you can direct search them:
@article{abadie_imbens_2016,
author = {Abadie, Alberto and Imbens, Guido W.},
title = {Matching on the Estimated Propensity Score},
journal = {Econometrica},
year = {2016},
volume = {84},
number = {2},
pages = {781--807},
doi = {10.3982/ECTA11293},
}
@book{frolich_sperlich_2019,
author = {Fr{\"o}lich, Markus and Sperlich, Stefan},
title = {Impact Evaluation: Treatment Effects and Causal Analysis},
publisher = {Cambridge University Press},
address = {Cambridge},
year = {2019},
doi = {10.1017/9781107337008},
}
@article{hahn_1998,
author = {Hahn, Jinyong},
title = {On the Role of the Propensity Score in Efficient Semiparametric
Estimation of Average Treatment Effects},
journal = {Econometrica},
year = {1998},
volume = {66},
number = {2},
pages = {315--331},
doi = {10.2307/2998560},
}
@article{hirano_imbens_ridder_2003,
author = {Hirano, Keisuke and Imbens, Guido W. and Ridder, Geert},
title = {Efficient Estimation of Average Treatment Effects Using the
Estimated Propensity Score},
journal = {Econometrica},
year = {2003},
volume = {71},
number = {4},
pages = {1161--1189},
doi = {10.1111/1468-0262.00442},
}
@book{imbens_rubin_2015,
author = {Imbens, Guido W. and Rubin, Donald B.},
title = {Causal Inference for Statistics, Social, and Biomedical
Sciences: An Introduction},
publisher = {Cambridge University Press},
address = {New York},
year = {2015},
isbn = {9780521885881},
doi = {10.1017/CBO9781139025751},
}
@article{lalonde_1986,
author = {LaLonde, Robert J.},
title = {Evaluating the Econometric Evaluations of Training Programs with
Experimental Data},
journal = {The American Economic Review},
year = {1986},
volume = {76},
number = {4},
pages = {604--620},
}
@article{manski_1990,
author = {Manski, Charles F.},
title = {Nonparametric Bounds on Treatment Effects},
journal = {The American Economic Review},
year = {1990},
volume = {80},
number = {2},
pages = {319--323},
note = {Papers and Proceedings},
}
@article{rosenbaum_rubin_1983,
author = {Rosenbaum, Paul R. and Rubin, Donald B.},
title = {The Central Role of the Propensity Score in Observational Studies
for Causal Effects},
journal = {Biometrika},
year = {1983},
volume = {70},
number = {1},
pages = {41--55},
doi = {10.1093/biomet/70.1.41},
}
@article{rothe_2017,
author = {Rothe, Christoph},
title = {Robust Confidence Intervals for Average Treatment Effects Under
Limited Overlap},
journal = {Econometrica},
year = {2017},
volume = {85},
number = {2},
pages = {645--660},
doi = {10.3982/ECTA13141},
}
@unpublished{wager_2024,
author = {Wager, Stefan},
title = {Causal Inference: A Statistical Learning Approach},
year = {2024},
note = {Unpublished book draft, Stanford University},
url = {https://web.stanford.edu/~swager/caus...},
urldate = {2026-10-06},
}