4 papers · 1 filter
Balancing Covariates for Continuous Treatments by Exploiting Continuity
Souhardya Sengupta, Kosuke Imai
We consider causal effect estimation in observational studies with continuous treatment. We introduce a general class of causal estimands that, as a special case, includes the aver…
Low-rank Covariate Balancing Estimators under Interference
Souhardya Sengupta, Kosuke Imai, Georgia Papadogeorgou
A key methodological challenge in observational studies with interference between units is twofold: (1) each unit's outcome may depend on many others' treatments, and (2) treatment…
The -test: Increasing the Linear Model -test's Power Under Sparsity Without Sacrificing Validity
Danielle Paulson, Souhardya Sengupta, Lucas Janson
We introduce a new procedure for testing the significance of a set of regression coefficients in a Gaussian linear model with . Our method, the -test, provides the sam…
The -test: leveraging sparsity in the Gaussian linear model for improved inference
Souhardya Sengupta, Lucas Janson
We develop novel LASSO-based methods for coefficient testing and confidence interval construction in the Gaussian linear model with . Our methods' finite-sample validity is…