39 citations · 62 across the 23 of their papers we have counts for
37 papers · 1 filter
On regression with estimated covariates and conditional effects given the propensity score
Jiaqi Wu, Matteo Bonvini, Edward H. Kennedy +2
Motivated by the study of heterogeneous returns to education in Brand & Xie 2010, which considers how the effect of completing college on earnings varies with the (unknown) probabi…
Effects of Adolescent Victimization on Offending: Flexible Methods for Missing Data & Unmeasured Confounding
Mateo Dulce Rubio, Edward H. Kennedy, Valerio Baćak +1
The causal link between victimization and violence later in life is largely accepted but has been understudied for victimized adolescents. In this work we use the Add Health datase…
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
Zach Branson, Edward H. Kennedy, Sivaraman Balakrishnan +1
Propensity score trimming, which discards subjects with propensity scores below a threshold, is a common way to address positivity violations that complicate causal effect estimati…
Minimax optimal subgroup identification
Matteo Bonvini, Edward H. Kennedy, Luke J. Keele
Quantifying treatment effect heterogeneity is a crucial task in many areas of causal inference, e.g. optimal treatment allocation and estimation of subgroup effects. We study the p…
An Efficient Doubly-Robust Test for the Kernel Treatment Effect
Diego Martinez-Taboada, Aaditya Ramdas, Edward H. Kennedy
The average treatment effect, which is the difference in expectation of the counterfactuals, is probably the most popular target effect in causal inference with binary treatments.…
Efficient Generalization and Transportation
Zhenghao Zeng, Edward H. Kennedy, Lisa M. Bodnar +1
When estimating causal effects, it is important to assess external validity, i.e., determine how useful a given study is to inform a practical question for a specific target popula…