6 citations · 9 across the 3 of their papers we have counts for
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econ.EM2021
Variable Selection for Causal Inference via Outcome-Adaptive Random Forest
Daniel Jacob
Estimating a causal effect from observational data can be biased if we do not control for self-selection. This selection is based on confounding variables that affect the treatment…
econ.EM2019
Group Average Treatment Effects for Observational Studies
Daniel Jacob
The paper proposes an estimator to make inference of heterogeneous treatment effects sorted by impact groups (GATES) for non-randomised experiments. The groups can be understood as…