4 papers
Inference with few treated units
Luis Alvarez, Bruno Ferman, Kaspar Wüthrich
In many causal inference applications, only one or a few units (or clusters of units) are treated. An important challenge in such settings is that standard inference methods relyin…
Treatment-effect heterogeneity and interactive fixed effects: Can we control for too much?
Murilo Cardoso, Bruno Ferman, Marcelo Fernandes
This paper studies the interactive fixed effects (IFE) estimator in a panel-data setting with heterogeneous treatment effects. We show that, if the treatment-effect heterogeneity a…
On the Use of Design-Based Simulations
Bruno Ferman
Design-based simulations - procedures that hold realized outcomes fixed and generate variation by resampling treatment assignment or shocks - are widely used in both methodological…
On the relationship between prediction intervals, tests of sharp nulls and inference on realized treatment effects in settings with few treated units
Luis Alvarez, Bruno Ferman
We study how inference methods for settings with few treated units that rely on treatment effect homogeneity extend to alternative inferential targets when treatment effects are he…