We describe a new design-based framework for drawing causal inference in...
Unbiased and consistent variance estimators generally do not exist for
d...
The regression discontinuity (RD) design offers identification of causal...
We argue that randomized controlled trials (RCTs) are special even among...
A common assumption in causal inference is that random treatment assignm...
Exposure mappings facilitate investigations of complex causal effects wh...
Book review published as: Aronow, Peter M. and Fredrik Sävje (2020), "Th...
The paper introduces a class of experimental designs that allows
experim...
The paper demonstrates that the matching estimator is not generally
cons...
We investigate large-sample properties of treatment effect estimators un...