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Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations

18 September 2013

Papers citing "Robust Inference on Average Treatment Effects with Possibly More Covariates than Observations"

45 / 95 papers shown

Title
Machine Learning Panel Data Regressions with Heavy-tailed Dependent Data: Theory and Application Andrii Babii Ryan T. Ball Eric Ghysels Jonas Striaukas 57 15 0 08 Aug 2020
Ensemble Learning with Statistical and Structural Models Jiaming Mao Jingzhi Xu 30 1 0 07 Jun 2020
Towards optimal doubly robust estimation of heterogeneous causal effects Edward H. Kennedy CML 196 328 0 29 Apr 2020
Doubly Debiased Lasso: High-Dimensional Inference under Hidden Confounding Zijian Guo Domagoj Cevid Peter Buhlmann CML 69 39 0 08 Apr 2020
High-dimensional mixed-frequency IV regression Andrii Babii 60 9 0 30 Mar 2020
Localized Debiased Machine Learning: Efficient Inference on Quantile Treatment Effects and Beyond Nathan Kallus Xiaojie Mao Masatoshi Uehara 68 27 0 30 Dec 2019
Minimax Semiparametric Learning With Approximate Sparsity Jelena Bradic Victor Chernozhukov Whitney Newey Yinchu Zhu 91 23 0 27 Dec 2019
Confounder Selection via Support Intersection Shinyuu Lee Yuru Zhu CML 26 0 0 25 Dec 2019
High Dimensional M-Estimation with Missing Outcomes: A Semi-Parametric Framework Abhishek Chakrabortty Jiarui Lu T. Tony Cai Hongzhe Li 45 6 0 26 Nov 2019
An introduction to flexible methods for policy evaluation M. Huber CML 67 7 0 01 Oct 2019
Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models Zijian Guo Wei Yuan Cun-Hui Zhang 47 2 0 30 Jul 2019
Estimating Treatment Effect under Additive Hazards Models with High-dimensional Covariates Jue Hou Jelena Bradic R. Xu CML 37 1 0 29 Jun 2019
Policy Targeting under Network Interference Davide Viviano 202 34 0 24 Jun 2019
Sparsity Double Robust Inference of Average Treatment Effects Jelena Bradic Stefan Wager Yinchu Zhu CML 65 40 0 02 May 2019
$A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts$ A unifying approach for doubly-robust $\ell_1$ regularized estimation of causal contrasts Ezequiel Smucler A. Rotnitzky J. M. Robins CML 85 80 0 07 Apr 2019
Characterization of parameters with a mixed bias property A. Rotnitzky Ezequiel Smucler J. M. Robins 82 67 0 07 Apr 2019
Omitted variable bias of Lasso-based inference methods: A finite sample analysis Kaspar Wüthrich Ying Zhu 86 27 0 20 Mar 2019
Machine learning in policy evaluation: new tools for causal inference N. Kreif K. DiazOrdaz ELM CML 76 46 0 01 Mar 2019
Robust Estimation of Causal Effects via High-Dimensional Covariate Balancing Propensity Score Y. Ning Sida Peng Kosuke Imai 63 87 0 20 Dec 2018
MALTS: Matching After Learning to Stretch Harsh Parikh Cynthia Rudin A. Volfovsky 80 25 0 18 Nov 2018
Debiased Inference of Average Partial Effects in Single-Index Models David A. Hirshberg Stefan Wager CML 53 13 0 06 Nov 2018
Robust Inference Using Inverse Probability Weighting Xinwei Ma Jingshen Wang 78 95 0 26 Oct 2018
Offline Multi-Action Policy Learning: Generalization and Optimization Zhengyuan Zhou Susan Athey Stefan Wager OffRL 82 122 0 10 Oct 2018
Deep Neural Networks for Estimation and Inference M. Farrell Tengyuan Liang S. Misra BDL 186 256 0 26 Sep 2018
Automatic Debiased Machine Learning of Causal and Structural Effects Victor Chernozhukov Whitney Newey Rahul Singh CML AI4CE 84 107 0 14 Sep 2018
Two-Step Estimation and Inference with Possibly Many Included Covariates M. D. Cattaneo Michael Jansson Xinwei Ma CML 58 68 0 26 Jul 2018
Interpretable Almost Matching Exactly for Causal Inference Yameng Liu Awa Dieng Sudeepa Roy Cynthia Rudin A. Volfovsky 21 2 0 18 Jun 2018
High-Dimensional Econometrics and Regularized GMM A. Belloni Victor Chernozhukov Denis Chetverikov Christian B. Hansen Kengo Kato 97 67 0 05 Jun 2018
Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data Z. Tan 71 88 0 30 Jan 2018
Overlap in Observational Studies with High-Dimensional Covariates Alexander DÁmour Peng Ding Avi Feller Lihua Lei Jasjeet Sekhon 182 194 0 07 Nov 2017
FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference Tianyu Wang Cynthia Rudin M. Usaid Awan Yameng Liu Sudeepa Roy Cynthia Rudin A. Volfovsky 133 51 0 19 Jul 2017
Targeted Undersmoothing Christian B. Hansen Damian Kozbur S. Misra 65 13 0 22 Jun 2017
Model-Robust Counterfactual Prediction Method Dave Zachariah Petre Stoica 26 0 0 19 May 2017
Uniform Inference for High-dimensional Quantile Regression: Linear Functionals and Regression Rank Scores Jelena Bradic Mladen Kolar 79 25 0 20 Feb 2017
Policy Learning with Observational Data Susan Athey Stefan Wager CML OffRL 459 183 0 09 Feb 2017
Locally Robust Semiparametric Estimation Victor Chernozhukov J. Escanciano Hidehiko Ichimura Whitney Newey J. M. Robins 138 210 0 29 Jul 2016
High-dimensional regression adjustments in randomized experiments Stefan Wager Wenfei Du Jonathan E. Taylor Robert Tibshirani 299 117 0 22 Jul 2016
Quantile Graphical Models: Prediction and Conditional Independence with Applications to Systemic Risk A. Belloni Mingli Chen Victor Chernozhukov 82 7 0 01 Jul 2016
Kernel Balancing: A flexible non-parametric weighting procedure for estimating causal effects Chad Hazlett CML 50 28 0 30 Apr 2016
Approximate Residual Balancing: De-Biased Inference of Average Treatment Effects in High Dimensions Susan Athey Guido Imbens Stefan Wager CML 513 390 0 25 Apr 2016
Inference in Linear Regression Models with Many Covariates and Heteroskedasticity M. D. Cattaneo Michael Jansson Whitney Newey 61 122 0 09 Jul 2015
Kernel Meets Sieve: Post-Regularization Confidence Bands for Sparse Additive Model Junwei Lu Mladen Kolar Han Liu 97 23 0 10 Mar 2015
ROCKET: Robust Confidence Intervals via Kendall's Tau for Transelliptical Graphical Models Rina Foygel Barber Mladen Kolar 94 47 0 26 Feb 2015
Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach Victor Chernozhukov Christian B. Hansen Martin Spindler 238 176 0 14 Jan 2015
Program Evaluation and Causal Inference with High-Dimensional Data A. Belloni Victor Chernozhukov Iván Fernández-Val Christian B. Hansen CML 252 359 0 11 Nov 2013