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.
Central limit theorems and uniform laws of large numbers for arrays of random fields
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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.