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Machine Learning for Causal Inference: Is a Nonlinear First Stage Really Forbidden in 2SLS?
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inferredcites →https://doi.org/10.1017/pan.2020.38openalex-extracted
Machine Learning Predictions as Regression Covariates
inferredcites →https://doi.org/10.1073/pnas.1510489113openalex-extracted
Recursive partitioning for heterogeneous causal effects
inferredcites →https://doi.org/10.1073/pnas.1614732113openalex-extracted
High-dimensional regression adjustments in randomized experiments
inferredcites →https://doi.org/10.1073/pnas.1804597116openalex-extracted
Metalearners for estimating heterogeneous treatment effects using machine learning
inferredcites →https://doi.org/10.1073/pnas.2001238117openalex-extracted
Methods for correcting inference based on outcomes predicted by machine learning
inferredcites →https://doi.org/10.1080/01621459.2015.1017577openalex-extracted
Treatment Effects With Censoring and Endogeneity
inferredcites →https://doi.org/10.1111/j.1467-842x.2004.00360.xopenalex-extracted
PARTIAL CORRELATION AND CONDITIONAL CORRELATION AS MEASURES OF CONDITIONAL INDEPENDENCE
inferredcites →https://doi.org/10.1145/3391403.3399466openalex-extracted
Machine Learning Instrument Variables for Causal Inference
inferredcites →https://doi.org/10.1146/annurev-soc-030420-015345openalex-extracted
Recent Developments in Causal Inference and Machine Learning
inferredcites →https://doi.org/10.1214/10-sts321openalex-extracted
Identification, Inference and Sensitivity Analysis for Causal Mediation Effects
inferredcites →https://doi.org/10.1257/jep.15.4.69openalex-extracted
Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments
inferredcites →https://doi.org/10.1287/isre.2022.1113openalex-extracted
Identification of Causal Mechanisms from Randomized Experiments: A Framework for Endogenous Mediation Analysis
inferredcites →https://doi.org/10.1287/mnsc.2024.08999openalex-extracted
EnsembleIV: Creating Instrumental Variables from Ensemble Learners for Robust Statistical Inference with ML- Generated Variables
inferredcites →https://doi.org/10.2139/ssrn.281433openalex-extracted
Instrumental Variables and the Search for Identification: From Supply and Demand to Natural Experiments
inferredcites →https://doi.org/10.3200/jece.39.1.88-91openalex-extracted
A Simple Proof of the FWL Theorem
inferredcites →https://doi.org/10.48550/arxiv.2010.07154openalex-extracted
Learning Deep Features in Instrumental Variable Regression
inferredcites →https://doi.org/10.5351/csam.2015.22.6.665openalex-extracted
ppcor: An R Package for a Fast Calculation to Semi-partial Correlation Coefficients
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