13 citations · 29 across the 7 of their papers we have counts for
4 papers · 1 filter
A Stable and Efficient Covariate-Balancing Estimator for Causal Survival Effects
Khiem Pham, David A. Hirshberg, Phuong-Mai Huynh-Pham +3
We propose an empirically stable and asymptotically efficient covariate-balancing approach to the problem of estimating survival causal effects in data with conditionally-independe…
The Balancing Act in Causal Inference
Eli Ben-Michael, Avi Feller, David A. Hirshberg +1
The idea of covariate balance is at the core of causal inference. Inverse propensity weights play a central role because they are the unique set of weights that balance the covaria…
Synthetic Difference in Differences
Dmitry Arkhangelsky, Susan Athey, David A. Hirshberg +2
We present a new estimator for causal effects with panel data that builds on insights behind the widely used difference in differences and synthetic control methods. Relative to th…
Augmented Minimax Linear Estimation
David A. Hirshberg, Stefan Wager
Many statistical estimands can expressed as continuous linear functionals of a conditional expectation function. This includes the average treatment effect under unconfoundedness a…