2 papers
econ.EM2026
Difference-in-Differences with Time-varying Continuous Treatments using Double/Debiased Machine Learning
Michel F. C. Haddad, Martin Huber, José Eduardo Medina-Reyes +1
We propose a difference-in-differences (DiD) framework designed for time-varying continuous treatments across multiple periods. Specifically, we estimate the average treatment effe…
econ.EM2025
Continuous difference-in-differences with double/debiased machine learning
Lucas Z. Zhang
This paper extends difference-in-differences to settings with continuous treatments. Specifically, the average treatment effect on the treated (ATT) at any level of treatment inten…