41 citations · 41 across the 4 of their papers we have counts for
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Assessing Sensitivity to IV Exclusion and Exogeneity without First Stage Monotonicity
Paul Diegert, Matthew A. Masten, Alexandre Poirier
Exclusion and exogeneity are core assumptions in instrumental variable (IV) analyses, but their empirical validity is often debated. This paper develops new sensitivity analyses fo…
An Axiomatic Approach to Comparing Sensitivity Parameters
Paul Diegert, Matthew A. Masten, Alexandre Poirier
Many methods are available for assessing the importance of omitted variables in linear regression. These methods typically make different, non-falsifiable assumptions. Hence the da…
Heterogeneity, Uncertainty and Learning: Semiparametric Identification and Estimation
Jackson Bunting, Paul Diegert, Arnaud Maurel
We provide identification results for a broad class of learning models in which continuous outcomes depend on three types of unobservables: known heterogeneity, initially unknown h…
Assessing Omitted Variable Bias when the Controls are Endogenous
Paul Diegert, Matthew A. Masten, Alexandre Poirier
Omitted variables are one of the most important threats to the identification of causal effects. Several widely used methods assess the impact of omitted variables on empirical con…