53 citations · 172 across the 26 of their papers we have counts for
5 papers · 1 filter
Peer Encouragement Designs in Causal Inference with Partial Interference and Identification of Local Average Network Effects
Hyunseung Kang, Guido Imbens
In non-network settings, encouragement designs have been widely used to analyze causal effects of a treatment, policy, or intervention on an outcome of interest when randomizing th…
Testing Endogeneity with High Dimensional Covariates
Zijian Guo, Hyunseung Kang, T. Tony Cai +1
Modern, high dimensional data has renewed investigation on instrumental variables (IV) analysis, primarily focusing on estimation of effects of endogenous variables and putting lit…
Inference for Instrumental Variables: A Randomization Inference Approach
Hyunseung Kang, Laura Peck, Luke Keele
The method of instrumental variables (IV) provides a framework to study causal effects in both randomized experiments with noncompliance and in observational studies where natural…
Estimating Treatment Effects using Multiple Surrogates: The Role of the Surrogate Score and the Surrogate Index
Susan Athey, Raj Chetty, Guido Imbens +1
Estimating the long-term effects of treatments is of interest in many fields. A common challenge in estimating such treatment effects is that long-term outcomes are unobserved in t…
Confidence Intervals for Causal Effects with Invalid Instruments using Two-Stage Hard Thresholding with Voting
Zijian Guo, Hyunseung Kang, T. Tony Cai +1
A major challenge in instrumental variables (IV) analysis is to find instruments that are valid, or have no direct effect on the outcome and are ignorable. Typically one is unsure…