A new staggered DID framework identifies own-treatment, spillover, and total effects under network spillovers via prespecified exposure summaries and parallel trends among units with matching exposure.
Design-based inference for spatial experiments under unknown interference
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Identification and Estimation of Staggered Difference-in-Differences with Network Spillovers
A new staggered DID framework identifies own-treatment, spillover, and total effects under network spillovers via prespecified exposure summaries and parallel trends among units with matching exposure.