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Double Machine Learning and Automated Confounder Selection -- A Cautionary Tale
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Close Enough? A Large-Scale Exploration of Non-Experimental Approaches to Advert...
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Average Adjusted Association: Efficient Estimation with High Dimensional Confoun...
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Efficient and Robust Estimation of the Generalized LATE Model
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Automatic Double Machine Learning for Continuous Treatment Effects
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Censored Quantile Regression with Many Controls
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Identification-robust inference for the LATE with high-dimensional covariates
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Robust Orthogonal Machine Learning of Treatment Effects
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Robust Causal Learning for the Estimation of Average Treatment Effects
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Double Machine Learning based Program Evaluation under Unconfoundedness
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Finite-Sample Guarantees for High-Dimensional DML
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Multiway Cluster Robust Double/Debiased Machine Learning
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Assumption-lean falsification tests of rate double-robustness of double-machine-...
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Estimating Continuous Treatment Effects in Panel Data using Machine Learning wit...
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Double Debiased Machine Learning Nonparametric Inference with Continuous Treatme...
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Double Machine Learning for Static Panel Models with Fixed Effects
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Author
Huang, Yiyan
2
Klosin, Sylvia
2
Leung, Cheuk Hang
2
Ma, Yukun
2
Wu, Qi
2
Yan, Xing
2
Caspi, Itamar
1
Chiang, Harold D.
1
Clarke, Paul
1
Colangelo, Kyle
1
Gordon, Brett R.
1
Hong, Seoyun
1
Huang, Zhixiang
1
Hünermund, Paul
1
Jun, Sung Jae
1
Kato, Kengo
1
Knaus, Michael C.
1
Lee, Sokbae
1
Lee, Ying-Ying
1
Liu, Lin
1
Louw, Beyers
1
Ma, Shumin
1
Moakler, Robert
1
Mukherjee, Rajarshi
1
Polselli, Annalivia
1
Quintas-Martinez, Victor
1
Robins, James M.
1
Sasaki, Yuya
1
Vilgalys, Max
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Wang, Dongdong
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Economics - Econometrics
Statistics - Machine Learning
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Computer Science - Machine Learning
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Mathematics - Statistics Theory
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Statistics - Methodology
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Quantitative Finance - Risk Management
1
Quantitative Finance - Statistical Finance
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Statistics - Applications
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