Introduces stacked DDD that uses appended four-cell stacks and saturated fixed effects to identify a cell-size-weighted average of stack-level conditional average treatment effects under staggered adoption.
Property (i), own-period weights sum to one
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Stacked Triple Differences
Introduces stacked DDD that uses appended four-cell stacks and saturated fixed effects to identify a cell-size-weighted average of stack-level conditional average treatment effects under staggered adoption.