ddml: Double/debiased machine learning in Stata

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ddml: Double/debiased machine learning in Stata

23 January 2023

Christian B. Hansen

Mark E. Schaffer

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Papers citing "ddml: Double/debiased machine learning in Stata"

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Title
Detecting clinician implicit biases in diagnoses using proximal causal inference Kara Liu Russ Altman Vasilis Syrgkanis CML 83 0 0 27 Jan 2025
pystacked: Stacking generalization and machine learning in Stata Achim Ahrens Christian B. Hansen Mark E. Schaffer 58 9 0 23 Aug 2022
Omitted variable bias of Lasso-based inference methods: A finite sample analysis Kaspar Wüthrich Ying Zhu 45 27 0 20 Mar 2019
Nonparametric regression using deep neural networks with ReLU activation function Johannes Schmidt-Hieber 230 815 0 22 Aug 2017
Generalized Random Forests Susan Athey J. Tibshirani Stefan Wager 325 1,365 0 05 Oct 2016
High-Dimensional Metrics in R Victor Chernozhukov C. Hansen Martin Spindler 69 16 0 05 Mar 2016
Valid Post-Selection and Post-Regularization Inference: An Elementary, General Approach Victor Chernozhukov Christian B. Hansen Martin Spindler 208 175 0 14 Jan 2015
Program Evaluation and Causal Inference with High-Dimensional Data A. Belloni Victor Chernozhukov Iván Fernández-Val Christian B. Hansen CML 193 358 0 11 Nov 2013
Supplementary Appendix for "Inference on Treatment Effects After Selection Amongst High-Dimensional Controls" A. Belloni Victor Chernozhukov Christian B. Hansen 271 1,407 0 27 May 2013