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Beyond Traditional DiD: Exploring New Approaches in Panel Data Analysis
Fri, September 6, 10:00 to 11:30am, Pennsylvania Convention Center (PCC), 110BSession Submission Type: Created Panel
Session Description
This panel explores advances in the study of causal identification using panel data. Do a deep dive into challenges and solutions for staggered treatments, the intricacies of triple-differences designs, novel doubly-robust DiD analysis, alternative approaches beyond traditional DiD designs, and other developments related to the study of time-series cross-sectional data.
Sub Unit
Chair
Discussants
Individual Presentations
How Many Is Enough? Sample Size in Staggered Difference-in-Differences Designs - Florian Hollenbach, Copenhagen Business School; Benjamin Egerod, Copenhagen Business School; Josh McCrain, University of Utah
Decomposing Triple-Differences Regression under Staggered Adoption - Anton Strezhnev, University of Chicago
A Difference-in-Differences Estimator for Causal Inference with TSCS Data - Yohan Park, Trinity College Dublin; Thomas Chadefaux, Trinity College Dublin
Many Facets of Difference-in-Differences: Beyond the Canonical Framework - Yiqing Xu, Stanford University