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Causal Inference for Time-Series Data
Thu, August 29, 8:00 to 9:30am, Omni, Council RoomSession Submission Type: Created Panel
Session Description
These papers focus on causal inference for time series and time series cross sectional data.
Sub Unit
Chair
Discussant
Individual Presentations
Bracketing Bounds for Differences-in-Differences - Luke Keele, University of Pennsylvania
Double DID: Relax Parallel Trends Assumption with Multiple Pretreatment Periods - Naoki Egami, Princeton University; Soichiro Yamauchi, Harvard University
Improving Causal Inference with TSCS Data Using Counterfactual Estimators - Licheng Liu, Tsinghua University; Ye Wang, New York University; Yiqing Xu, Stanford University