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.
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A bilevel optimization framework smooths isotonic regression outputs into continuous piece-wise linear monotonic functions to recover marginal properties in both convex and non-convex cases.
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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.
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Piece-wise linear isotonic regression
A bilevel optimization framework smooths isotonic regression outputs into continuous piece-wise linear monotonic functions to recover marginal properties in both convex and non-convex cases.