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stat.ME2025
Estimating treatment effects with a unified semi-parametric difference-in-differences approach
Julia C. Thome, Andrew J. Spieker, Peter F. Rebeiro +3
Difference-in-differences (DID) approaches are widely used for estimating causal effects with observational data before and after an intervention. DID traditionally estimates the a…
stat.ME2017
Quantile Treatment Effects in Difference in Differences Models under Dependence Restrictions and with only Two Time Periods
Brantly Callaway, Tong Li, Tatsushi Oka
This paper shows that the Conditional Quantile Treatment Effect on the Treated can be identified using a combination of (i) a conditional Distributional Difference in Differences a…