Comment: Individualized Treatment Rules Under Endogeneity
Sukjin (Vincent) Han

TL;DR
This paper reviews recent research on identifying personalized treatment strategies with instrumental variables and proposes alternative assumptions to improve identification methods.
Contribution
It introduces new identifying assumptions that differ from existing studies, enhancing the understanding of individualized treatment rules under endogeneity.
Findings
Proposes alternative assumptions for treatment rule identification.
Analyzes two recent studies on instrumental variable methods.
Provides insights into improving identification under endogeneity.
Abstract
This note discusses two recent studies on identification of individualized treatment rules using instrumental variables---Cui and Tchetgen Tchetgen (2020) and Qiu et al. (2020). It also proposes identifying assumptions that are alternative to what is used in both studies.
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Taxonomy
TopicsAdvanced Causal Inference Techniques · Statistical Methods and Inference
