5 citations · 5 across the 3 of their papers we have counts for
5 papers
Choosing Exogeneity Assumptions in Potential Outcome Models
Matthew A. Masten, Alexandre Poirier
There are many kinds of exogeneity assumptions. How should researchers choose among them? When exogeneity is imposed on an unobservable like a potential outcome, we argue that the…
Assessing Sensitivity to Unconfoundedness: Estimation and Inference
Matthew A. Masten, Alexandre Poirier, Linqi Zhang
This paper provides a set of methods for quantifying the robustness of treatment effects estimated using the unconfoundedness assumption (also known as selection on observables or…
Salvaging Falsified Instrumental Variable Models
Matthew A. Masten, Alexandre Poirier
What should researchers do when their baseline model is refuted? We provide four constructive answers. First, researchers can measure the extent of falsification. To do this, we co…
Interpreting Quantile Independence
Matthew A. Masten, Alexandre Poirier
How should one assess the credibility of assumptions weaker than statistical independence, like quantile independence? In the context of identifying causal effects of a treatment v…
Identification of Treatment Effects under Conditional Partial Independence
Matthew A. Masten, Alexandre Poirier
Conditional independence of treatment assignment from potential outcomes is a commonly used but nonrefutable assumption. We derive identified sets for various treatment effect para…