RAMEN identifies treatment effects from multiple environments in a doubly robust manner by leveraging data heterogeneity without requiring the causal graph.
How conditioning on posttreatment variables can ruin your experiment and what to do about it.American Journal of Political Science, 62(3):760–775, 2018
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Doubly robust identification of treatment effects from multiple environments
RAMEN identifies treatment effects from multiple environments in a doubly robust manner by leveraging data heterogeneity without requiring the causal graph.