7 citations · 11 across the 4 of their papers we have counts for
8 papers
Randomization Inference for Composite Experiments with Spillovers and Peer Effects
Hui Xu, Guillaume Basse
Group-formation experiments, in which experimental units are randomly assigned to groups, are a powerful tool for studying peer effects in the social sciences. Existing design and…
The Generalized Oaxaca-Blinder Estimator
Kevin Guo, Guillaume Basse
After performing a randomized experiment, researchers often use ordinary-least squares (OLS) regression to adjust for baseline covariates when estimating the average treatment effe…
A general theory of identification
Guillaume Basse, Iavor Bojinov
What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree on a definition in the context of parametric statistical models --- roughly, a p…
Combining Observational and Experimental Datasets Using Shrinkage Estimators
Evan Rosenman, Guillaume Basse, Art Owen +1
We consider the problem of combining data from observational and experimental sources to make causal conclusions. This problem is increasingly relevant, as the modern era has yield…
Minimax designs for causal effects in temporal experiments with treatment habituation
Guillaume Basse, Yi Ding, Panos Toulis
Randomized experiments are the gold standard for estimating the causal effects of an intervention. In the simplest setting, each experimental unit is randomly assigned to receive t…
Limitations of design-based causal inference and A/B testing under arbitrary and network interference
Guillaume Basse, Edoardo Airoldi
Randomized experiments on a network often involve interference between connected units; i.e., a situation in which an individual's treatment can affect the response of another indi…