3 papers
econ.GN2024
On Causal Inference with Model-Based Outcomes
Dmitry Arkhangelsky, Kazuharu Yanagimoto, Tom Zohar
We study the estimation of causal effects on group-level parameters identified from microdata (e.g., child penalties). We demonstrate that standard one-step methods (such as pooled…
econ.EM2023
Large-Sample Properties of the Synthetic Control Method under Selection on Unobservables
Dmitry Arkhangelsky, David Hirshberg
We analyze the synthetic control (SC) method in panel data settings with many units. We assume the treatment assignment is based on unobserved heterogeneity and pre-treatment infor…
econ.EM2023
Causal Models for Longitudinal and Panel Data: A Survey
Dmitry Arkhangelsky, Guido Imbens
In this survey we discuss the recent causal panel data literature. This recent literature has focused on credibly estimating causal effects of binary interventions in settings with…