2 citations · 2 across the 2 of their papers we have counts for
5 papers
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…
Least Squares with Error in Variables
David A. Hirshberg
Error-in-variables regression is a common ingredient in treatment effect estimators using panel data. This includes synthetic control estimators, counterfactual time series forecas…
Confidence Intervals for Policy Evaluation in Adaptive Experiments
Vitor Hadad, David A. Hirshberg, Ruohan Zhan +2
Adaptive experiment designs can dramatically improve statistical efficiency in randomized trials, but they also complicate statistical inference. For example, it is now well known…
Minimax Linear Estimation of the Retargeted Mean
David A. Hirshberg, Arian Maleki, Jose R. Zubizarreta
Evaluating treatments received by one population for application to a different target population of scientific interest is a central problem in causal inference from observational…
Debiased Inference of Average Partial Effects in Single-Index Models
David A. Hirshberg, Stefan Wager
We propose a method for average partial effect estimation in high-dimensional single-index models that is root-n-consistent and asymptotically unbiased given sparsity assumptions o…