Establishes unconfoundedness conditions and proposes matching-based estimators for immediate and carryover causal effects in bipartite interference with time series and random networks.
Stronger instruments via integer programming in an observational study of late preterm birth outcomes
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Bipartite causal inference with interference, time series data, and a random network
Establishes unconfoundedness conditions and proposes matching-based estimators for immediate and carryover causal effects in bipartite interference with time series and random networks.