1 citations · 1 across the 1 of their papers we have counts for
3 papers
econ.GN2026★ 1 cited
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.EM2024
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…
econ.EM2024
Design-Robust Two-Way-Fixed-Effects Regression For Panel Data
Dmitry Arkhangelsky, Guido W. Imbens, Lihua Lei +1
We propose a new estimator for average causal effects of a binary treatment with panel data in settings with general treatment patterns. Our approach augments the popular two-way-f…