Under unknown interference, the sharp identified set for a panel treatment effect is characterized exactly by feasibility of a finite linear system, enabling uniform candidatewise bootstrap inference.
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Learning about Treatment Effects in Panels under Unknown Interference
Under unknown interference, the sharp identified set for a panel treatment effect is characterized exactly by feasibility of a finite linear system, enabling uniform candidatewise bootstrap inference.